Triple
T10782599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Moore |
E254363
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matt Moore |
E254363
|
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 Moore | Statement: [Matt Moore, name, Matt Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Moore Context triple: [Matt Moore, name, Matt Moore]
-
A.
Matt Moore
chosen
Matt Moore was an Irish-born American actor prominent in the silent and early sound film era, appearing in numerous Hollywood productions from the 1910s through the 1930s.
-
B.
Nate Moore
Nate Moore is an American film producer known for his work on numerous Marvel Cinematic Universe films, including the Black Panther series.
-
C.
Ryan Yarbrough
Ryan Yarbrough is an American professional baseball pitcher known for his tenure with the Tampa Bay Rays in Major League Baseball.
-
D.
Ryan Binkley
Ryan Binkley is an American pastor and businessman who ran as a long-shot candidate in the 2024 Republican presidential primaries.
-
E.
Matt Mattox
Matt Mattox was an American jazz and musical theatre dancer and choreographer, best known for his athletic, angular style and influential work in mid-20th-century stage and film musicals.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c5618081908f72838ed42ed05c |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84c925088190922b9979cf77d01b |
completed | April 14, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:17 p.m.