Triple
T13269168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Gainey |
E316009
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gainey |
E496210
|
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: Gainey | Statement: [Bob Gainey, familyName, Gainey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gainey Context triple: [Bob Gainey, familyName, Gainey]
-
A.
Gainey
chosen
Gainey is a surname of likely Irish or English origin borne by various notable individuals, including politicians and public figures.
-
B.
Keegan
Keegan is a surname most famously associated with Kevin Keegan, the former English footballer and manager.
-
C.
Ben Gage
Ben Gage was an American radio announcer and actor best known for his work in radio drama and for being married to swimming and film star Esther Williams.
-
D.
O'Gara
O'Gara is an Irish surname most prominently associated with former rugby union star and coach Ronan O'Gara.
-
E.
Gannon
Gannon is the tough, seasoned cowboy protagonist of the Western film "A Man Called Gannon."
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901f59888190b8147836d2fcac5e |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4e98888190af5cb857b2437f09 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.