Triple
T2658727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Growing Pains |
E54674
|
entity |
| Predicate | helpedLaunchCareerOf |
P14805
|
FINISHED |
| Object | Tracey Gold |
E285531
|
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: Tracey Gold | Statement: [Growing Pains, helpedLaunchCareerOf, Tracey Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracey Gold Context triple: [Growing Pains, helpedLaunchCareerOf, Tracey Gold]
-
A.
Tracey Gold
chosen
Tracey Gold is an American actress best known for playing Carol Seaver on the 1980s sitcom "Growing Pains."
-
B.
Tracy Stevens
Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
-
C.
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
-
D.
Tracey McShane
Tracey McShane is an American former veterinary technician and graphic designer best known as the wife of comedian and former "Daily Show" host Jon Stewart.
-
E.
Tracy Negoshian
Tracy Negoshian is an American fashion designer known for her colorful, patterned women’s clothing line sold in boutiques and online.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94dcaa48190aec625f68ce61a02 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa054d4d0819095084088fd54a63a |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.