Triple
T15959745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Innes |
E387025
|
entity |
| Predicate | yearsOnShow |
P111948
|
FINISHED |
| Object | ER 1995–2007 |
—
|
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: ER 1995–2007 | Statement: [Laura Innes, yearsOnShow, ER 1995–2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsOnShow Context triple: [Laura Innes, yearsOnShow, ER 1995–2007]
-
A.
activeYearsInFilm
Indicates the span of years during which an entity was actively involved in film-related work or roles.
-
B.
onScreenYears
chosen
Indicates the span of years during which an entity appeared or was active on screen.
-
C.
seriesYear
Indicates the year in which a series (such as a TV show, book series, or event series) is released, set, or primarily associated.
-
D.
ageInSeries
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
E.
yearListed
Indicates the specific year in which an entity was formally recorded, registered, or added to a list or catalog.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.