Triple
T7811772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Matheny |
E180701
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Matheny |
E180701
|
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: Matheny | Statement: [Mike Matheny, familyName, Matheny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matheny Context triple: [Mike Matheny, familyName, Matheny]
-
A.
Matheny
chosen
Matheny is a surname most notably associated with former Major League Baseball catcher and manager Mike Matheny.
-
B.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
-
C.
Mahony
Mahony is the surname of Marion Mahony Griffin, a pioneering American architect and one of the first licensed female architects in the world.
-
D.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
E.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78e198c81909d4fd227f6b71082 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a4724288190b6f18f8cdde080ed |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:37 p.m.