Triple
T38679594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Out and Stay Out |
E943853
|
entity |
| Predicate | placementInScore |
P196534
|
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: [Get Out and Stay Out, placementInScore, late in the musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placementInScore Context triple: [Get Out and Stay Out, placementInScore, late in the musical]
-
A.
placementIn
Indicates that one entity is located or positioned within the spatial or structural bounds of another entity.
-
B.
trackPlacement
Indicates the relative position or ordering of an item along a track or sequence.
-
C.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
D.
positionInAllTimeScoring
Indicates the ranking or placement of an entity within an all-time scoring leaderboard or cumulative scoring list.
-
E.
positionInPerformance
Indicates the specific ordering or placement of an entity within a performance or sequence of performed elements.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
| PDg | Predicate description generation | batch_69fe59d03a648190bbe846cb5730a477 |
completed | May 8, 2026, 9:46 p.m. |
Created at: May 3, 2026, 4:33 p.m.