Triple
T31751032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Willis |
E810417
|
entity |
| Predicate | marriedToTelevisionPersonality |
P29616
|
FINISHED |
| Object | Cilla Black |
—
|
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: Cilla Black | Statement: [Bobby Willis, marriedToTelevisionPersonality, Cilla Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToTelevisionPersonality Context triple: [Bobby Willis, marriedToTelevisionPersonality, Cilla Black]
-
A.
notableOnAirPersonality
Indicates that an entity is recognized as a prominent or distinguished on-air media personality associated with another entity (such as a show, station, or network).
-
B.
marriedToNotablePerson
chosen
Indicates that a person is legally married to another individual who is widely recognized or notable.
-
C.
hasSpouseInTVSeries
Indicates that one person is the spouse of another person within the context of a specific TV series.
-
D.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
-
E.
portrayedBySpouseOf
Indicates that something is portrayed or depicted by the spouse of a given entity.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 30, 2026, 11:28 p.m.