Triple
T14365443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Quinn |
E356219
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Quinn |
E356219
|
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: Bill Quinn | Statement: [Bill Quinn, name, Bill Quinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Quinn Context triple: [Bill Quinn, name, Bill Quinn]
-
A.
Bill Quinn
chosen
Bill Quinn was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1980s.
-
B.
Kevin Quinn
Kevin Quinn is a professional wrestling trainer and former wrestler best known for helping develop future stars such as CM Punk.
-
C.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
-
D.
Bob O'Brien
Bob O'Brien is a fictional universe created by author Kim Carter, serving as the setting for her imaginative stories and characters.
-
E.
Max Cullen
Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a018c88190b4fdbf36687ad973 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:15 a.m.