Triple
T3068014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Leavey |
E62152
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Erik Howsam
Erik Howsam is a film producer known for his work on the military drama "Megan Leavey."
|
E322060
|
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: Erik Howsam | Statement: [Megan Leavey, producer, Erik Howsam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Howsam Context triple: [Megan Leavey, producer, Erik Howsam]
-
A.
Ken Howery
Ken Howery is an American entrepreneur, venture capitalist, and co-founder of PayPal who later served as a partner at Founders Fund and as U.S. Ambassador to Sweden.
-
B.
Erik Wilson
Erik Wilson is a British cinematographer known for his visually distinctive work on films such as Paddington 2.
-
C.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
D.
Eric Jager
Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
-
E.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
- 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: Erik Howsam Triple: [Megan Leavey, producer, Erik Howsam]
Generated description
Erik Howsam is a film producer known for his work on the military drama "Megan Leavey."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik Howsam Target entity description: Erik Howsam is a film producer known for his work on the military drama "Megan Leavey."
-
A.
Ken Howery
Ken Howery is an American entrepreneur, venture capitalist, and co-founder of PayPal who later served as a partner at Founders Fund and as U.S. Ambassador to Sweden.
-
B.
Erik Wilson
Erik Wilson is a British cinematographer known for his visually distinctive work on films such as Paddington 2.
-
C.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
D.
Eric Jager
Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
-
E.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef1972e08190942a068c0c563e52 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1efa8c11081908661b33e465e11bc |
completed | March 11, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f062abf48190ab891463c5b33622 |
completed | March 11, 2026, 10:44 p.m. |
Created at: March 8, 2026, 3:02 p.m.