Triple
T6540349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Renfro |
E168269
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Apt Pupil |
E192791
|
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: Apt Pupil | Statement: [Brad Renfro, notableWork, Apt Pupil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apt Pupil Context triple: [Brad Renfro, notableWork, Apt Pupil]
-
A.
Apt Pupil
chosen
Apt Pupil is a dark psychological novella by Stephen King about a teenage boy’s disturbing relationship with a fugitive Nazi war criminal.
-
B.
Apt Pupil – Southern California
Apt Pupil – Southern California is the primary setting of Stephen King’s novella “Apt Pupil,” a dark psychological horror story from his collection Different Seasons.
-
C.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
D.
Palookas
"Palookas" is a track from Talib Kweli's album "Gutter Rainbows," showcasing his lyrically driven, socially conscious hip-hop style.
-
E.
The Boy
The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add7369c8190919cd7c07012a994 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53edf108190b74098b41c143a65 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:50 p.m.