Triple
T30280037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 355 |
E770060
|
entity |
| Predicate | leadActorForCharacter_MaceBrown |
P178819
|
FINISHED |
| Object | Jessica Chastain |
—
|
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: Jessica Chastain | Statement: [The 355, leadActorForCharacter_MaceBrown, Jessica Chastain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter_MaceBrown Context triple: [The 355, leadActorForCharacter_MaceBrown, Jessica Chastain]
-
A.
worksForCharacterPlayedBy
Indicates that one character is employed by, or works under, another character who is portrayed by a specific actor.
-
B.
leadActorForCharacterLance
Indicates that the referenced person is the primary actor who portrays the character named Lance.
-
C.
mainActorForCharacter_CharlieCrews
Indicates that the referenced person is the primary actor who portrays the character Charlie Crews.
-
D.
leadActorForCharacter Philip Shayne
Indicates that the specified person is the primary actor portraying the character Philip Shayne.
-
E.
leadActorForCharacter_TrevorHolden
Indicates that the specified person is the lead actor portraying the character Trevor Holden.
- 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 29, 2026, 7:45 p.m.