Triple
T17037327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Trachtenberg |
E413354
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dan Trachtenberg |
E413354
|
NE FINISHED |
How this triple was built (2 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: Dan Trachtenberg | Statement: [Dan Trachtenberg, name, Dan Trachtenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Trachtenberg Context triple: [Dan Trachtenberg, name, Dan Trachtenberg]
-
A.
Dan Trachtenberg
chosen
Dan Trachtenberg is an American filmmaker best known for directing the thriller "10 Cloverfield Lane" and the "Predator" prequel "Prey."
-
B.
David Trachtenberg
David Trachtenberg is a magazine editor known for his work on the publication Risen.
-
C.
Daniel Kraft
Daniel Kraft is a physician-scientist, inventor, and healthcare entrepreneur known for his work in medical innovation and digital health technologies.
-
D.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
E.
Jonathan Tunick
Jonathan Tunick is a renowned American orchestrator, musical director, and composer best known for his long-standing collaboration with Stephen Sondheim on numerous Broadway productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f38b58819093af4054c3459726 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.