Triple
T3906614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwen Cooper |
E87216
|
entity |
| Predicate | televisionSeriesGenre |
P47169
|
FINISHED |
| Object | science fiction |
—
|
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: science fiction | Statement: [Gwen Cooper, televisionSeriesGenre, science fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionSeriesGenre Context triple: [Gwen Cooper, televisionSeriesGenre, science fiction]
-
A.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
B.
televisionCategory
chosen
Indicates the classification or genre category assigned to a television-related entity (such as a show, channel, or program).
-
C.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
D.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
E.
televisionFilm
Indicates that the subject is a television film (a movie produced for or originally distributed via television).
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.