Triple
T6278972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Krieger |
E140732
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Tom Eyen |
E214320
|
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: Tom Eyen | Statement: [Henry Krieger, hasCollaboratedWith, Tom Eyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Eyen Context triple: [Henry Krieger, hasCollaboratedWith, Tom Eyen]
-
A.
Tom Eyen
chosen
Tom Eyen was an American playwright and lyricist best known for co-writing the book and lyrics of the Broadway musical "Dreamgirls."
-
B.
Jon Gluyas
Jon Gluyas is a British geologist and energy expert known for his pioneering work in petroleum geology, carbon capture and storage, and geothermal energy.
-
C.
Ron Cey
Ron Cey is a former Major League Baseball third baseman best known as a key member of the Los Angeles Dodgers during the 1970s and early 1980s.
-
D.
Tom Kirdahy
Tom Kirdahy is an American Tony Award–winning theater producer and former public interest lawyer, known for his work on major Broadway productions and for being the widower of playwright Terrence McNally.
-
E.
Tom Schaul
Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519549cf0819096d01c23f6c915eb |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.