Triple
T9433719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelma Evans |
E227448
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Good Times |
E31755
|
NE 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: Good Times | Statement: [Thelma Evans, appearsIn, Good Times]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Times Context triple: [Thelma Evans, appearsIn, Good Times]
-
A.
Good Times
chosen
Good Times is a 1970s American sitcom that follows the struggles and resilience of a Black family living in a Chicago housing project, known for its social commentary and memorable characters.
-
B.
Good Times
Good Times is a hip hop track by producer and rapper Swizz Beatz, recognized for its energetic beat and club-oriented sound.
-
C.
Good Times
Good Times is a 1979 disco song by the American band Chic, widely regarded as one of the most influential tracks in dance and pop music history.
-
D.
For the Good Times
For the Good Times is a classic country song written by Kris Kristofferson that became widely popular through Ray Price’s hit 1970 recording.
-
E.
The Good Times
The Good Times is a memoir by American writer and humorist Russell Baker that recounts his experiences as a journalist and columnist during the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e62d53c81908055e0967e6cd54d |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104514d481908d7cb9a87a01f1e2 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:49 p.m.