Triple
T6427236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Room |
E128089
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Allen G. Siegler
Allen G. Siegler was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood films.
|
E841373
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Allen G. Siegler | Statement: [The Black Room, cinematographyBy, Allen G. Siegler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen G. Siegler Context triple: [The Black Room, cinematographyBy, Allen G. Siegler]
-
A.
Robert J. Kolenkow
Robert J. Kolenkow is a physicist and educator best known as the co-author of the influential undergraduate textbook "An Introduction to Mechanics."
-
B.
George A. Bermann
George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
-
C.
Paul A. Suttell
Paul A. Suttell is an American jurist who serves as the Chief Justice of the Rhode Island Supreme Court.
-
D.
Philip M. Kaiser
Philip M. Kaiser was an American diplomat and public servant who held several key ambassadorial posts during the Cold War era.
-
E.
Neil A. Machlis
Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Allen G. Siegler Triple: [The Black Room, cinematographyBy, Allen G. Siegler]
Generated description
Allen G. Siegler was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allen G. Siegler Target entity description: Allen G. Siegler was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood films.
-
A.
Robert J. Kolenkow
Robert J. Kolenkow is a physicist and educator best known as the co-author of the influential undergraduate textbook "An Introduction to Mechanics."
-
B.
George A. Bermann
George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
-
C.
Paul A. Suttell
Paul A. Suttell is an American jurist who serves as the Chief Justice of the Rhode Island Supreme Court.
-
D.
Philip M. Kaiser
Philip M. Kaiser was an American diplomat and public servant who held several key ambassadorial posts during the Cold War era.
-
E.
Neil A. Machlis
Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06920cef48190a884df8f12987a0d |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b54de2cc8190b14e3e726b4e9384 |
completed | April 5, 2026, 7:17 p.m. |
| NEDg | Description generation | batch_69d2b9b6c3f8819092958f3988be5c5e |
completed | April 5, 2026, 7:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ba151f6881909213e53f00c24bb9 |
completed | April 5, 2026, 7:37 p.m. |
Created at: March 22, 2026, 4:44 p.m.