Triple
T8361504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bid Time Return |
E197016
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Richard Collier |
E627721
|
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: Richard Collier | Statement: [Bid Time Return, protagonist, Richard Collier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Collier Context triple: [Bid Time Return, protagonist, Richard Collier]
-
A.
Richard Collier
chosen
Richard Collier is the time-traveling playwright protagonist of the romantic fantasy story "Somewhere in Time."
-
B.
Grant Collier
Grant Collier is a video game developer best known as a co-founder of Infinity Ward and a key figure behind the early Call of Duty series.
-
C.
Lewis Collins
Lewis Collins was a British actor best known for his tough-guy roles in action films and the TV series "The Professionals."
-
D.
Charles Collens
Charles Collens was an American architect best known for his work on prominent Gothic Revival structures, including major churches and academic buildings in the early 20th century.
-
E.
James Collip
James Collip was a Canadian biochemist best known as a key member of the team that developed insulin as a treatment for diabetes.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce029ea6b48190aca98c579a4fbe94 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6 p.m.