Triple
T14152480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Robinson |
E350718
|
entity |
| Predicate | hasTelevisionDebutYear |
P7549
|
FINISHED |
| Object | 1965 |
—
|
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: 1965 | Statement: [Kelly Robinson, hasTelevisionDebutYear, 1965]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionDebutYear Context triple: [Kelly Robinson, hasTelevisionDebutYear, 1965]
-
A.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
B.
debutYear
chosen
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
C.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
D.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
E.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:57 a.m.