Triple
T25829192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nola Darling |
E650611
|
entity |
| Predicate | ageInOriginalFilm |
P59141
|
FINISHED |
| Object | twenty-something |
—
|
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: twenty-something | Statement: [Nola Darling, ageInOriginalFilm, twenty-something]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInOriginalFilm Context triple: [Nola Darling, ageInOriginalFilm, twenty-something]
-
A.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
B.
ageOfActorAtTime
Indicates the age that an actor has at a specified point in time.
-
C.
ageInVideo
Indicates the age of a person or entity at the time they appear in a specific video.
-
D.
protagonistAgeRelativeToPrequel
Indicates how the protagonist’s age in the current work compares to their age in a preceding prequel story.
-
E.
ageInSeries
chosen
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6019807f08190bbeb8be744551fdf |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:37 a.m.