Triple
T30634915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Collette as Lynn Sear |
E779811
|
entity |
| Predicate | creditedCastOrder |
P169642
|
FINISHED |
| Object | main cast |
—
|
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: main cast | Statement: [Toni Collette as Lynn Sear, creditedCastOrder, main cast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditedCastOrder Context triple: [Toni Collette as Lynn Sear, creditedCastOrder, main cast]
-
A.
filmAppearanceOrder
Indicates the sequence in which a character or element appears within a film, relative to other appearances.
-
B.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
C.
originalCastPerformer
Indicates that a performer was part of the original cast in the first production or release of a work.
-
D.
hasRelativeInCastOrCrew
Indicates that at least one member of a work’s cast or crew is a relative of a specified person.
-
E.
includesCastMembersFrom
Indicates that one entity’s cast list contains one or more cast members who also appear in the cast list of another entity.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a5062f08190be313f1baa1a317d |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:28 p.m.