Triple
T35709543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poupée de cire, poupée de son |
E1031813
|
entity |
| Predicate | runningOrderInFinal |
P87859
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Poupée de cire, poupée de son, runningOrderInFinal, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runningOrderInFinal Context triple: [Poupée de cire, poupée de son, runningOrderInFinal, 15]
-
A.
typicalOrderOfRunners
Indicates the usual or expected sequence in which runners are arranged or finish relative to one another.
-
B.
runnerUpFinalRecord
Indicates the final performance or outcome record associated with the entity that finished as runner-up in a competition or event.
-
C.
tournamentFinalMethod
Indicates the method or format by which the final round or match of a tournament is conducted or decided.
-
D.
finalRoundName
Indicates the designated name or title assigned to the final round of a multi-round process or competition.
-
E.
finalRanking2
chosen
Indicates the final ordered position or placement of one entity relative to others in a ranking or competition.
- 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_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.