Triple
T8267969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Lorre |
E193347
|
entity |
| Predicate | startOfTelevisionCareer |
P60224
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Chuck Lorre, startOfTelevisionCareer, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfTelevisionCareer Context triple: [Chuck Lorre, startOfTelevisionCareer, 1980s]
-
A.
startedCareerAsChildActor
Indicates that a person began their professional career in acting during childhood.
-
B.
startedActingCareer
Indicates that an entity began their professional work or involvement in acting at a specific time or event.
-
C.
firstTelecastOn
Indicates the date or event on which something, typically a program or broadcast, was first shown on television.
-
D.
madeProfessionalDebutIn
chosen
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
E.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:50 p.m.