Triple
T13938654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pleasure Principle |
E335182
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Replicas |
E531369
|
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: Replicas | Statement: [The Pleasure Principle, follows, Replicas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Replicas Context triple: [The Pleasure Principle, follows, Replicas]
-
A.
Replicas
chosen
Replicas is a 2018 science fiction thriller film starring Keanu Reeves that explores the ethical and emotional consequences of human cloning and consciousness transfer.
-
B.
Remnants
"Remnants" is a studio album by American country and pop singer LeAnn Rimes that showcases a more mature, soulful sound in her discography.
-
C.
Sentinels
The Sentinels is the name of the athletic teams representing Patrick Henry College in collegiate sports competitions.
-
D.
Sentinels
Sentinels are powerful mutant-hunting robots from the X-Men universe, designed to track, capture, and exterminate mutants.
-
E.
Sentinels
Sentinels is the mascot name representing the athletic teams and school spirit of Inglewood High School.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf5cc8c8190bea74291702b2925 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce89d2348190b5a50376c2b8248c |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.