Triple
T4763692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walsh |
E105757
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Courtney Walsh |
E389462
|
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: Courtney Walsh | Statement: [Walsh, hasNotableBearer, Courtney Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courtney Walsh Context triple: [Walsh, hasNotableBearer, Courtney Walsh]
-
A.
Courtney Walsh
chosen
Courtney Walsh is a former West Indian fast bowler and captain renowned for being one of cricket’s leading wicket-takers and a key figure in Jamaica and West Indies cricket history.
-
B.
Kevin Cahoon
Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
-
C.
Matthew Shoemaker
Matthew Shoemaker is a Canadian municipal politician serving as the mayor of Sault Ste. Marie, Ontario.
-
D.
David Bell
David Bell is the protagonist of the 1987 American drama film "Americana," around whom the story’s emotional and narrative arc revolves.
-
E.
Lance Schulters
Lance Schulters is a former NFL safety best known for his Pro Bowl tenure with the San Francisco 49ers and later stints with the Tennessee Titans and Miami Dolphins.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6530f0648190b76db9964471cfeb |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a87741081909380c51ba4efed92 |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:20 p.m.