Triple
T15176333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Baxter |
E362618
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Douglas Cook |
E592800
|
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: Douglas Cook | Statement: [Major Baxter, createdBy, Douglas Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas Cook Context triple: [Major Baxter, createdBy, Douglas Cook]
-
A.
Douglas Cook
chosen
Douglas Cook was an American screenwriter best known for co-writing action and thriller films such as "The Rock" and "Double Jeopardy."
-
B.
Jon Cooksey
Jon Cooksey is a television and film writer best known for co-writing the popular Disney Channel movie "Halloweentown."
-
C.
Phil Cookson
Phil Cookson is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or roles.
-
D.
Donald Cooksey
Donald Cooksey was an American physicist known for his work in nuclear physics and his leadership role at the MIT Radiation Laboratory during World War II.
-
E.
Douglas Wick
Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0066236d481909e8ac47f496861ad |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00456b590c8190949fd23cb5cec1e8 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 3:09 a.m.