Triple
T34973250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of the Thighs |
E1008597
|
entity |
| Predicate | hasProminentPiano |
P83294
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lord of the Thighs, hasProminentPiano, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProminentPiano Context triple: [Lord of the Thighs, hasProminentPiano, true]
-
A.
hasPianoStyle
Indicates that one entity possesses, is associated with, or is characterized by a particular style or manner of piano playing.
-
B.
hasPianoRiff
Indicates that one entity features or contains a distinctive piano riff associated with another entity.
-
C.
hasPianist
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
-
D.
hasPianoSolo
chosen
Indicates that something includes, features, or is characterized by a piano solo performance.
-
E.
hasPianos
Indicates that one entity possesses, contains, or includes one or more pianos in relation to another entity.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0346b487088190814e4bd0765cb609 |
completed | May 12, 2026, 3:26 p.m. |
| PD | Predicate disambiguation | batch_6a0346428c60819090e5ea815c0921ca |
completed | May 12, 2026, 3:24 p.m. |
Created at: May 3, 2026, 4:01 p.m.