Triple
T14499210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Baird |
E359585
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matt Baird |
E359585
|
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: Matt Baird | Statement: [Matt Baird, name, Matt Baird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Baird Context triple: [Matt Baird, name, Matt Baird]
-
A.
Matt Baird
chosen
Matt Baird is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
B.
Jim Baird
Jim Baird is a Republican U.S. Representative from Indiana who has served in Congress since 2019 and is known for his background as a farmer, small-business owner, and Vietnam War veteran.
-
C.
Bryan Bedford
Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
-
D.
Bryan Bedford
Bryan Bedford is the young boy central to the 1994 film "Miracle on 34th Street," whose belief in Santa Claus becomes a key focus of the story.
-
E.
Scott Bailes
Scott Bailes is a former Major League Baseball pitcher who played primarily for the Cleveland Indians during the late 1980s and early 1990s.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadfaddc88190bb1196ace0bfd4ff |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:21 a.m.