Triple
T22023361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One True Loves |
E543895
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sam |
—
|
NE NERFINISHED |
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: Sam | Statement: [One True Loves, mainCharacter, Sam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Context triple: [One True Loves, mainCharacter, Sam]
-
A.
Sam
Sam is the iconic, burlap-sack-masked embodiment of Halloween who enforces the holiday’s rules in the Trick 'r Treat horror franchise.
-
B.
Sam
Sam is the NATO reporting name for the Mitsubishi A7M Reppū, a late-World War II Japanese carrier-based fighter aircraft developed as the intended successor to the A6M Zero.
-
C.
Sam
chosen
Sam is a person whose given name is Sam.
-
D.
Simon
Simon is the drag performer alter ego behind Lola in the musical and film "Kinky Boots," revealing the character’s offstage identity and personal life.
-
E.
Simon
Simon was one of the nuclear test detonations conducted during the U.S. Operation Upshot–Knothole series in 1953.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.