Triple
T36539090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pity the Child |
E900666
|
entity |
| Predicate | placeInScore |
P115343
|
FINISHED |
| Object | late in the musical |
—
|
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: late in the musical | Statement: [Pity the Child, placeInScore, late in the musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeInScore Context triple: [Pity the Child, placeInScore, late in the musical]
-
A.
isPartOfScoreBy
chosen
Indicates that something constitutes a component or segment within a larger score or musical composition.
-
B.
scoredOn
Indicates that one entity successfully achieved a score or point against another entity, typically in a competitive or game context.
-
C.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
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.
scoredAsPartOf
Indicates that an entity achieved a score or rating specifically within the context of being part of a larger group, event, or composite activity.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:11 p.m.