Triple
T16642400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt O'Leary |
E404373
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matt O'Leary |
E404373
|
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 O'Leary | Statement: [Matt O'Leary, name, Matt O'Leary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt O'Leary Context triple: [Matt O'Leary, name, Matt O'Leary]
-
A.
Matt O'Leary
chosen
Matt O'Leary is an American actor best known for his roles in early 2000s films such as the Spy Kids franchise and various independent and genre movies.
-
B.
Patrick Lahey
Patrick Lahey is a deep-sea explorer and submersible designer best known as the co-founder and president of Triton Submarines and for piloting record-setting dives to the ocean’s deepest points.
-
C.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Matt Keeslar
Matt Keeslar is an American actor known for his work in film and television, including prominent roles in science fiction and fantasy adaptations.
-
E.
Kevin McLaughlin
Kevin McLaughlin is a literary scholar and translator known for his English translation of Walter Benjamin’s "The Arcades Project."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbf6507081909f6a49c003f9d6d6 |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:18 a.m.