Triple
T11326411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Peters |
E268230
|
entity |
| Predicate | returnedToActing |
P17858
|
FINISHED |
| Object | 1970s television roles |
—
|
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: 1970s television roles | Statement: [Jean Peters, returnedToActing, 1970s television roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToActing Context triple: [Jean Peters, returnedToActing, 1970s television roles]
-
A.
returnedToLiveIn
Indicates that an entity moved back to a place where they had previously lived and resumed living there.
-
B.
returnedFrom
Indicates that an entity has come back or been sent back from a specified source, location, or prior state.
-
C.
returnedDuring
Indicates that one entity was given back or restored to another entity within a specified time period or event.
-
D.
returnedToTour
Indicates that an entity resumed or went back to participating in a tour after having left or paused it.
-
E.
returnedFromRetirement
chosen
Indicates that an entity has resumed an activity, role, or position after having previously retired from it.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.