Triple
T5140588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Silvers as Herb Blake |
E115939
|
entity |
| Predicate | setInWorkContext |
P41119
|
FINISHED |
| Object | backstage musical setting |
—
|
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: backstage musical setting | Statement: [Phil Silvers as Herb Blake, setInWorkContext, backstage musical setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInWorkContext Context triple: [Phil Silvers as Herb Blake, setInWorkContext, backstage musical setting]
-
A.
setWorkIn
Indicates that an entity assigns or places a work, task, or project into a particular context, location, or setting.
-
B.
hasWorkContext
Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
-
C.
primaryWorkContext
Indicates the main environment, setting, or domain in which an entity typically performs its work or primary activities.
-
D.
isRaisedInContextOf
Indicates that an entity is brought up, discussed, or introduced within a particular situational, thematic, or conversational context.
-
E.
workAttributedContext
chosen
Indicates that a work is associated with or derived from a particular contextual source, setting, or circumstance that informs its creation or interpretation.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.