Triple
T18853435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crosby, Texas |
E461106
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Gentry |
—
|
NE NERFINISHED |
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: Gentry | Statement: [Crosby, Texas, formerName, Gentry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gentry Context triple: [Crosby, Texas, formerName, Gentry]
-
A.
Gentry
chosen
Gentry is a given name most notably borne by American science fiction writer and engineer Gentry Lee.
-
B.
Gerrity
Gerrity is a surname, likely of Irish origin, that serves as a spelling variant of the name Gerry.
-
C.
Gothart
Gothart is a variant form of the German given name Gotthard, historically borne by several medieval figures and occasionally used in modern German-speaking regions.
-
D.
Blakemore
Blakemore is the surname of blues musician Junior Wells, an influential American Chicago blues vocalist and harmonica player.
-
E.
Garity
Garity is a surname most notably associated with American actor Troy Garity, known for his roles in films such as "Barbershop" and "Soldier's Girl."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05a8a708190b9b2b8f95b2f1d23 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.