Triple
T1262691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merian C. Cooper |
E12534
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cooper |
E79912
|
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: Cooper | Statement: [Merian C. Cooper, familyName, Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cooper Context triple: [Merian C. Cooper, familyName, Cooper]
-
A.
Cooper
chosen
Cooper is a common English surname of occupational origin, traditionally referring to a maker or repairer of wooden casks and barrels.
-
B.
Lloyd
Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
-
C.
Clyde
Clyde is a masculine given name of Scottish origin, historically associated with the River Clyde in Scotland and used widely in English-speaking countries.
-
D.
Charlie
Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
-
E.
Charlie
Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc77f4c8190b97a0ceaa31cfd49 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9982a1588190999045eaae01e559 |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.