Triple
T8008745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panda |
E186428
|
entity |
| Predicate | containsAdLibs |
P69677
|
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: [Panda, containsAdLibs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAdLibs Context triple: [Panda, containsAdLibs, true]
-
A.
featuresAdLibsBy
chosen
Indicates that something (such as a song or track) includes ad-lib vocal contributions performed by a specified artist or entity.
-
B.
hasImprovisation
Indicates that an entity includes, involves, or is characterized by improvisational elements or unscripted creative actions in relation to another entity or context.
-
C.
includesLibretto
Indicates that one entity (typically a musical or operatic work or publication) contains or is accompanied by the full text/libretto of another work.
-
D.
includesSaying
Indicates that one entity (such as a text, speech, or communication) contains or incorporates a particular saying, phrase, or quoted expression.
-
E.
usedInLibrary
Indicates that something is utilized or applied within the context of a library, such as a software library or a physical library system.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6f76408190a1312369521a187a |
completed | March 31, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:19 p.m.