Triple
T2667849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo the Lion |
E55679
|
entity |
| Predicate | soundElement |
P22084
|
FINISHED |
| Object | lion roar synchronized with logo appearance |
—
|
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: lion roar synchronized with logo appearance | Statement: [Leo the Lion, soundElement, lion roar synchronized with logo appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundElement Context triple: [Leo the Lion, soundElement, lion roar synchronized with logo appearance]
-
A.
soundDesignBy
Indicates that the sound design for a work (such as a film, game, or performance) is created or supervised by a particular person or entity.
-
B.
soundCharacter
Indicates a relationship where one entity specifies the quality, style, or distinguishing characteristics of a sound produced or perceived in another entity.
-
C.
hasSound
chosen
Indicates that an entity produces, emits, or is associated with a particular sound.
-
D.
soundChip
Indicates that one entity functions as or contains the sound-processing chip used by another entity.
-
E.
soundCarrier
Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98a4ee88190aa7ef914e316ba31 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.