Triple
T10723231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Mathis |
E252873
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clint |
E385093
|
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: Clint | Statement: [Clint Mathis, givenName, Clint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clint Context triple: [Clint Mathis, givenName, Clint]
-
A.
Clint
chosen
Clint is a small town in El Paso County, Texas, known for its rural character and proximity to the U.S.–Mexico border.
-
B.
Clinten
Clinten is a given name that serves as an alternative spelling of the more common name Clinton.
-
C.
Clint Reilly
Clint Reilly is a San Francisco-based political consultant, real estate investor, and former newspaper owner known for his influence in local politics and media.
-
D.
Clint Bentley
Clint Bentley is an American filmmaker best known for directing the acclaimed horse-racing drama "Jockey."
-
E.
Logan Killicks
Logan Killicks is Janie Crawford’s first husband in Zora Neale Hurston’s novel "Their Eyes Were Watching God," an older, pragmatic farmer whose loveless, controlling marriage prompts her search for independence and true love.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb738f8488190837a675b82ce75aa |
completed | April 12, 2026, 3:16 p.m. |
Created at: April 8, 2026, 9:14 p.m.