Triple
T524188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Cook |
E10881
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cook |
E10881
|
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: Cook | Statement: [James Cook, familyName, Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cook Context triple: [James Cook, familyName, Cook]
-
A.
Cook
chosen
Cook is a surname shared by various notable individuals, including members of singer-songwriter Alicia Keys' family.
-
B.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
C.
Beekman
Beekman is a small town in Dutchess County, New York, known for its rural character and residential communities within the Hudson Valley region.
-
D.
Baker
Baker is a common English occupational surname originally given to people who baked bread or worked in a bakery.
-
E.
Baker
Baker was the second of the 1946 Operation Crossroads nuclear tests at Bikini Atoll, notable as an underwater detonation used to study the effects of nuclear explosions on naval ships and equipment.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab224e008190b233b04b0a432b83 |
completed | March 1, 2026, 9:09 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.