Triple
T34392324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Reason to Love |
E882735
|
entity |
| Predicate | isWatchedOnTelevisionBy |
P179154
|
FINISHED |
| Object | Betty Sizemore |
—
|
NE NERFINISHED |
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: Betty Sizemore | Statement: [A Reason to Love, isWatchedOnTelevisionBy, Betty Sizemore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWatchedOnTelevisionBy Context triple: [A Reason to Love, isWatchedOnTelevisionBy, Betty Sizemore]
-
A.
isTelevised
Indicates that an event, program, or activity is broadcast on television for public viewing.
-
B.
hasDirectedTelevision
Indicates that one entity has directed a television production, such as a TV show or episode, involving the other entity.
-
C.
wonTelevisionShow
Indicates that one entity emerged as the winner of a television show competition or contest.
-
D.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
E.
hasTelevisionVersion
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
- F. None of above. chosen
Provenance (4 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:59 a.m.