Triple
T30459040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsau Scott |
E774944
|
entity |
| Predicate | televisionDebutWith |
P170226
|
FINISHED |
| Object | "Love & Marriage: Huntsville" |
—
|
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: "Love & Marriage: Huntsville" | Statement: [Marsau Scott, televisionDebutWith, "Love & Marriage: Huntsville"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionDebutWith Context triple: [Marsau Scott, televisionDebutWith, "Love & Marriage: Huntsville"]
-
A.
televisionDebutNetwork
Indicates the television network on which an entity (such as a show or person) first appeared or made its debut.
-
B.
debutedOnTelevisionIn
Indicates that an entity made its first appearance or was first broadcast on television in a specified time or context.
-
C.
televisionDebutInDecade
Indicates that an entity made its first appearance on television during a specified decade.
-
D.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
E.
televisionDebutAsHost
Indicates the event or relationship in which an entity first appears on television in the role of a host.
- 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:10 p.m.