Triple
T6457110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Star |
E142020
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Younger |
E284568
|
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: Younger | Statement: [Darren Star, creatorOf, Younger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Younger Context triple: [Darren Star, creatorOf, Younger]
-
A.
Younger
chosen
Younger is a television comedy-drama series about a 40-year-old woman who pretends to be in her twenties to reenter the competitive publishing industry.
-
B.
Young
Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
-
C.
Young
Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
-
D.
Youth
"Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
-
E.
Youth
"Youth" is a melancholic, synth-driven indie pop song by British band Glass Animals that reflects on nostalgia, loss, and the fragility of childhood.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d639ec8190bb0a806da4118440 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65394d8b481909868faf79f3d2383 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:48 p.m.