Triple
T4696687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouse Hunt (film score) |
E104160
|
entity |
| Predicate | partOfWorkPeriod |
P58590
|
FINISHED |
| Object | Alan Silvestri film scores of the 1990s |
—
|
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: Alan Silvestri film scores of the 1990s | Statement: [Mouse Hunt (film score), partOfWorkPeriod, Alan Silvestri film scores of the 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWorkPeriod Context triple: [Mouse Hunt (film score), partOfWorkPeriod, Alan Silvestri film scores of the 1990s]
-
A.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
B.
hasWorkPeriod
Indicates that an entity is associated with a specific span of time during which it performs or is engaged in some work or activity.
-
C.
periodizedAs
Indicates that something has been divided or organized into distinct time periods according to a particular periodization scheme.
-
D.
continuedIntoPeriod
Indicates that an action, state, or relationship that began earlier persisted without interruption into a specified later time period.
-
E.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd6508e218819086a36236cfa4a249 |
completed | March 20, 2026, 3:17 p.m. |
Created at: March 20, 2026, 1:17 p.m.