Triple
T32812568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf (male vocal part in "Baby, It’s Cold Outside") |
E839194
|
entity |
| Predicate | commonLabelInScores |
P196989
|
FINISHED |
| Object | "Wolf" |
—
|
NE NERFINISHED |
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: "Wolf" | Statement: [Wolf (male vocal part in "Baby, It’s Cold Outside"), commonLabelInScores, "Wolf"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonLabelInScores Context triple: [Wolf (male vocal part in "Baby, It’s Cold Outside"), commonLabelInScores, "Wolf"]
-
A.
coScoredWith
Indicates that two or more entities received the same score or were evaluated with an identical scoring outcome in a shared context.
-
B.
scores
Indicates that one entity achieves or is assigned a numerical result, rating, or points in relation to another entity, such as a test, game, or evaluation.
-
C.
alsoScoredFor
Indicates that an individual who scored for one team or entity has also scored for another team or entity.
-
D.
scoresWhen
Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
-
E.
usesScoreBy
Indicates that one entity evaluates, ranks, or measures another entity according to a specified scoring method or metric.
- F. None of above. chosen
Provenance (4 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: May 1, 2026, 1:15 a.m.