Triple
T7759272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Solomon |
E175975
|
entity |
| Predicate | engagementStatusAcrossFilm |
P78548
|
FINISHED |
| Object | on-going engagement |
—
|
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: on-going engagement | Statement: [Tom Solomon, engagementStatusAcrossFilm, on-going engagement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementStatusAcrossFilm Context triple: [Tom Solomon, engagementStatusAcrossFilm, on-going engagement]
-
A.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
B.
hasFilmVersionStatus
Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
-
C.
engagedBy
Indicates that an entity is actively involved, occupied, or participating in an activity, process, or interaction initiated or provided by another entity.
-
D.
relationshipStatusDuringFilm
Indicates the type or state of a relationship between entities specifically during the time period in which a film takes place or is produced.
-
E.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:09 p.m.