Triple
T29522829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homecoming (TV series) |
E748979
|
entity |
| Predicate | leadActorSeason1 |
P166850
|
FINISHED |
| Object | Julia Roberts |
—
|
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: Julia Roberts | Statement: [Homecoming (TV series), leadActorSeason1, Julia Roberts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorSeason1 Context triple: [Homecoming (TV series), leadActorSeason1, Julia Roberts]
-
A.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
-
B.
leadActorFinalTelevisionSeries
Indicates that the subject is the main actor in the final television series of the referenced entity.
-
C.
leadActorOfAdaptation
Indicates that a person is the main actor in a specific adaptation of a work (such as a film, series, or stage version).
-
D.
roleInSeason
Indicates the specific role or function an entity has within a particular season of a series or competition.
-
E.
playedInSeason
Indicates that an entity (such as a player or participant) took part in or was active during a specific season.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 4:42 p.m.