Triple
T35985720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen |
E1040701
|
entity |
| Predicate | associatedWithEntranceMusic |
P44166
|
FINISHED |
| Object | remixed Ric Flair theme |
—
|
LITERAL 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: remixed Ric Flair theme | Statement: [The Queen, associatedWithEntranceMusic, remixed Ric Flair theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEntranceMusic Context triple: [The Queen, associatedWithEntranceMusic, remixed Ric Flair theme]
-
A.
entranceTheme
chosen
Indicates the music or theme that plays when an entity makes their entrance or initial appearance.
-
B.
entranceGimmick
Indicates a distinctive feature, stunt, or presentation style used when someone or something makes an entrance.
-
C.
hasEntranceGimmick
Indicates that an entity features a distinctive or notable gimmick, stunt, or special element associated with its entrance or initial appearance.
-
D.
hasEntrancesIn
Indicates that an entity has one or more entrances located within or opening into another specified entity or area.
-
E.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
- F. None of above.
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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.