Triple
T10312192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hyams |
E241919
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | All Square |
E855747
|
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: All Square | Statement: [John Hyams, producerOf, All Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Square Context triple: [John Hyams, producerOf, All Square]
-
A.
All Square
chosen
All Square is a 2018 dark comedy-drama film about a small-town bookie who starts taking bets on youth league baseball games, exploring themes of morality and exploitation in American sports culture.
-
B.
In Square Circle
In Square Circle is a 1985 R&B and pop studio album by Stevie Wonder, noted for its synth-driven sound and hit singles.
-
C.
SQuaRE
SQuaRE is the ISO/IEC software product quality standards framework that defines models and measures for evaluating and improving software quality.
-
D.
Square Pegs
Square Pegs is an early-1980s American teen sitcom best known for its offbeat, satirical take on high school life and its cult following.
-
E.
Square
Square is a financial technology company best known for its mobile payment solutions and point-of-sale hardware that enable businesses to accept card payments easily.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32b85288190a11e09a0ab80d66c |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7502f7b308190aaefd62f2f8a0ac3 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:48 a.m.