Triple
T8969444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Gatins |
E214225
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Real Steel |
E331551
|
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: Real Steel | Statement: [John Gatins, notableWork, Real Steel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Steel Context triple: [John Gatins, notableWork, Real Steel]
-
A.
Real Steel
chosen
Real Steel is a 2011 science-fiction sports drama film set in a near-future world of robot boxing, known for its blend of action, emotional storytelling, and cutting-edge visual effects.
-
B.
All About Steve
All About Steve is a 2009 American romantic comedy film starring Sandra Bullock as an eccentric crossword puzzle creator who becomes obsessed with a television cameraman.
-
C.
Max Steel (video game)
Max Steel is a third-person action video game based on the animated TV series of the same name, developed by Treyarch and released in 2000.
-
D.
Bolt
Bolt is a 2008 animated film from Walt Disney Animation Studios about a TV star dog who believes his fictional superpowers are real and embarks on a cross-country journey to save his owner.
-
E.
Bolt
Bolt is a global ride-hailing and mobility platform offering services like car rides, scooters, and food delivery, competing with companies such as Uber.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6765babc8190a4a3b79aa21047c8 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96006e48190978e4ccdedc48b41 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.