Triple
T16816752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Ninjas Knuckle Up |
E408770
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Michael Treanor |
E1234761
|
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: Michael Treanor | Statement: [Three Ninjas Knuckle Up, starredActor, Michael Treanor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Treanor Context triple: [Three Ninjas Knuckle Up, starredActor, Michael Treanor]
-
A.
Michael Treanor
chosen
Michael Treanor is an American former child actor best known for playing Rocky, the eldest brother, in the early 1990s Three Ninjas film series.
-
B.
Matt Treanor
Matt Treanor is a former American Major League Baseball catcher who played for several teams in the 2000s and early 2010s.
-
C.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
D.
Mike Molloy
Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
-
E.
Brendan Coogan
Brendan Coogan is a British television presenter and media personality, known for his work on motoring and entertainment programs and as the brother of comedian Steve Coogan.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e1de908190aa3508770fb865cf |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbfb781881908f4d56f523e78f7a |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:23 a.m.