Triple
T551394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lost City of Z |
E11846
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Lee Haugen
Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
|
E103488
|
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: Lee Haugen | Statement: [The Lost City of Z, editor, Lee Haugen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Haugen Context triple: [The Lost City of Z, editor, Lee Haugen]
-
A.
Christian M. Ravndal
Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
-
B.
Ian Hendrickson-Smith
Ian Hendrickson-Smith is an American jazz saxophonist and flutist known for his work as a versatile session musician and performer with various prominent bands and artists.
-
C.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
-
D.
Jan Christian Vestre
Jan Christian Vestre is a Norwegian Labour Party politician and businessman who has served as Norway’s Minister of Trade and Industry.
-
E.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
- 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: Lee Haugen Triple: [The Lost City of Z, editor, Lee Haugen]
Generated description
Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Haugen Target entity description: Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
-
A.
Christian M. Ravndal
Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
-
B.
Ian Hendrickson-Smith
Ian Hendrickson-Smith is an American jazz saxophonist and flutist known for his work as a versatile session musician and performer with various prominent bands and artists.
-
C.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
-
D.
Jan Christian Vestre
Jan Christian Vestre is a Norwegian Labour Party politician and businessman who has served as Norway’s Minister of Trade and Industry.
-
E.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b830bf5c81908784e8146987eb96 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7ba8dd7408190b5ee7688e45f2473 |
completed | March 4, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7bc1da490819097fe1e60e3e93ba4 |
completed | March 4, 2026, 4:59 a.m. |
Created at: March 1, 2026, 7:32 p.m.