Triple
T17069939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Assassins |
E414188
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Tony Krantz |
E1247424
|
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: Tony Krantz | Statement: [Wu Assassins, executiveProducer, Tony Krantz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Krantz Context triple: [Wu Assassins, executiveProducer, Tony Krantz]
-
A.
Tony Krantz
chosen
Tony Krantz is an American television and film producer, director, and former talent agent known for his work on series such as 24 and the Netflix martial-arts drama Wu Assassins.
-
B.
Larry Hillblom
Larry Hillblom was an American businessman and entrepreneur best known as a co-founder of the global logistics and courier company DHL.
-
C.
Joe Kolsky
Joe Kolsky was a music industry figure best known as the founder of the American record label Roulette Records.
-
D.
Barry Detweiler
Barry Detweiler is a fictional character appearing in the Fedora universe, contributing to its narrative and thematic development.
-
E.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eda04d08190b450fbfc6ccb9054 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.