Triple
T37534517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilary Farr |
E933157
|
entity |
| Predicate | televisionShowGenre |
P83375
|
FINISHED |
| Object | reality television |
—
|
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: reality television | Statement: [Hilary Farr, televisionShowGenre, reality television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionShowGenre Context triple: [Hilary Farr, televisionShowGenre, reality television]
-
A.
tvGenre
chosen
Indicates the genre or category to which a television show or program belongs.
-
B.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
televisionCategory
Indicates the classification or genre category assigned to a television-related entity (such as a show, channel, or program).
-
D.
isTelevisionShowType
Indicates that one entity is a specific type or category of television show in relation to another entity.
-
E.
televisionUniverse
Indicates that two entities exist within the same fictional television continuity or shared TV universe.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.