Triple
T34779093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Expectations (2012 film) |
E1002590
|
entity |
| Predicate | ralphFiennesRole |
P9616
|
FINISHED |
| Object | Magwitch |
—
|
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: Magwitch | Statement: [Great Expectations (2012 film), ralphFiennesRole, Magwitch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ralphFiennesRole Context triple: [Great Expectations (2012 film), ralphFiennesRole, Magwitch]
-
A.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
B.
Jobe Watson
Indicates a relationship or action involving Jobe Watson, such as participation in, association with, or influence on another entity or event.
-
C.
roleRupertGrint
Indicates that the entity has the role or character portrayed by Rupert Grint in a work or context.
-
D.
GameOfThronesRole
Indicates that one entity plays, voices, or otherwise portrays a character in the television series "Game of Thrones" in relation to another entity.
-
E.
leadActorForCharacter_CharlesDexterWard
Indicates that a person is the lead actor portraying the character Charles Dexter Ward in a given production.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.