Triple
T35709569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poupée de cire, poupée de son |
E1031813
|
entity |
| Predicate | performerAgeAtContest |
P183146
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Poupée de cire, poupée de son, performerAgeAtContest, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerAgeAtContest Context triple: [Poupée de cire, poupée de son, performerAgeAtContest, 17]
-
A.
contestantAgeAtTime
chosen
Indicates the age of a contestant at the specific time a referenced event or situation occurs.
-
B.
performerAgeAtRecording
Indicates the age of the performer at the time the recording was made.
-
C.
intendedPerformerAge
Indicates the age that a performer is expected or intended to be for a given role, performance, or context.
-
D.
performerAgeAtRelease
Indicates the age of a performer at the time a work (such as a recording or performance) is released.
-
E.
featuresArtistAgeCategory
Indicates that the relationship specifies the age-based category or age group classification associated with an artist.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 3, 2026, 4:05 p.m.