Triple
T12685003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilienthal |
E303044
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Lilienthal
Peter Lilienthal is a German film director known for his politically engaged cinema and contributions to New German Cinema.
|
E1135478
|
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: Peter Lilienthal | Statement: [Lilienthal, hasNotableBearer, Peter Lilienthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Lilienthal Context triple: [Lilienthal, hasNotableBearer, Peter Lilienthal]
-
A.
William Rosenberg
William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
-
B.
Max Lilienthal
Max Lilienthal was a 19th-century German-American rabbi and educator known for his leadership in early American Reform Judaism and his efforts to modernize Jewish education.
-
C.
Philip Liebmann
Philip Liebmann was the husband of American film actress Linda Darnell.
-
D.
Sidney Levin
Sidney Levin was a film editor best known for his work on influential American movies such as Martin Scorsese’s early crime drama "Mean Streets."
-
E.
Marvin Duchow
Marvin Duchow was a Canadian musicologist and influential professor of music at McGill University, known for his scholarship in Renaissance and Baroque music.
- 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: Peter Lilienthal Triple: [Lilienthal, hasNotableBearer, Peter Lilienthal]
Generated description
Peter Lilienthal is a German film director known for his politically engaged cinema and contributions to New German Cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Lilienthal Target entity description: Peter Lilienthal is a German film director known for his politically engaged cinema and contributions to New German Cinema.
-
A.
William Rosenberg
William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
-
B.
Max Lilienthal
Max Lilienthal was a 19th-century German-American rabbi and educator known for his leadership in early American Reform Judaism and his efforts to modernize Jewish education.
-
C.
Philip Liebmann
Philip Liebmann was the husband of American film actress Linda Darnell.
-
D.
Sidney Levin
Sidney Levin was a film editor best known for his work on influential American movies such as Martin Scorsese’s early crime drama "Mean Streets."
-
E.
Marvin Duchow
Marvin Duchow was a Canadian musicologist and influential professor of music at McGill University, known for his scholarship in Renaissance and Baroque music.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea598fd888190b53ab937bad1d824 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea71a4ab08190aa044608de1cf676 |
completed | May 9, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea97741dc8190b56facdbff937c78 |
completed | May 9, 2026, 3:26 a.m. |
Created at: April 9, 2026, 5:21 p.m.