Triple
T4441308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pumping Iron |
E95775
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Mike Katz |
E439277
|
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: Mike Katz | Statement: [Pumping Iron, featuresCharacter, Mike Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Katz Context triple: [Pumping Iron, featuresCharacter, Mike Katz]
-
A.
Mike Katz
chosen
Mike Katz is an American bodybuilder and former professional football player best known for his appearance in the 1977 documentary film "Pumping Iron."
-
B.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
C.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
D.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
E.
Michael Rachmil
Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6281264f08190942d2043495c89d5 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:32 p.m.