Triple
T9163026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Leary |
E219873
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jack Leary |
E219873
|
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: Jack Leary | Statement: [Jack Leary, name, Jack Leary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Leary Context triple: [Jack Leary, name, Jack Leary]
-
A.
Jack Leary
chosen
Jack Leary is the son of famed psychologist and LSD advocate Timothy Leary, known primarily for his connection to his father's countercultural legacy.
-
B.
Jeremy Leary
Jeremy Leary is a voice actor best known for portraying the young version of Carl Fredricksen in Pixar’s animated film "Up."
-
C.
Scott Leykam
Scott Leykam is a collegiate sports administrator who serves as the athletic director for the University of Portland's Portland Pilots athletic program.
-
D.
Matt O'Leary
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.
-
E.
Andrew Laeddis
Andrew Laeddis is the true identity of U.S. Marshal Teddy Daniels, revealed as a delusional patient in the psychological thriller "Shutter Island."
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2d6628819084ac4734650fe912 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eaa8135081909225810ee5355bc3 |
completed | April 5, 2026, 4:52 a.m. |
Created at: March 30, 2026, 7:21 p.m.