Triple
T14283625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child's Play |
E354112
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Don Mancini |
E847416
|
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: Don Mancini | Statement: [Child's Play, storyBy, Don Mancini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Mancini Context triple: [Child's Play, storyBy, Don Mancini]
-
A.
Don Mancini
chosen
Don Mancini is an American screenwriter, director, and producer best known as the creator of the Child’s Play/Chucky horror franchise.
-
B.
Joe D'Arco
Joe D'Arco is a musician best known as a former member of the American rock band Godsmack.
-
C.
Buford "Mad Dog" Tannen
Buford "Mad Dog" Tannen is the ruthless, hot-tempered outlaw and ancestor of Biff Tannen who serves as the main antagonist in the Old West setting of Back to the Future Part III.
-
D.
Carlito Brigante
Carlito Brigante is a fictional Puerto Rican ex-convict and former gangster struggling to escape his criminal past in the crime drama film "Carlito's Way."
-
E.
John D'Arco
John D'Arco is a screenwriter best known for penning the action-comedy film "Barely Lethal."
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467f3b3081908261261301674c4e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:10 a.m.