Triple
T10311510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathy Najimy |
E241899
|
entity |
| Predicate | notableWork |
P4
|
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: [Kathy Najimy, notableWork, Younger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Younger Context triple: [Kathy Najimy, notableWork, 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.
Junger
Junger is the surname of Sebastian Junger, an American author, journalist, and documentary filmmaker known for works like "The Perfect Storm" and "Restrepo."
-
C.
Young
Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
-
D.
Young
Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
-
E.
Youth
Youth is a British rock band known for its energetic performances and collaborations with various artists.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32ac6c08190b23eb042b3ec284a |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d78ece88190885768c979b038df |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:47 a.m.