Triple
T34779092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Expectations (2012 film) |
E1002590
|
entity |
| Predicate | helenaBonhamCarterRole |
P181606
|
FINISHED |
| Object | Miss Havisham |
—
|
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: Miss Havisham | Statement: [Great Expectations (2012 film), helenaBonhamCarterRole, Miss Havisham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helenaBonhamCarterRole Context triple: [Great Expectations (2012 film), helenaBonhamCarterRole, Miss Havisham]
-
A.
roleOfJennaColeman
Indicates that the specified entity is a character or role portrayed by Jenna Coleman.
-
B.
Kim CattrallRole
Indicates that Kim Cattrall played a specific role or character in a work such as a film, TV show, or stage production.
-
C.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
D.
ElizabethAction
Indicates that Elizabeth performs, initiates, or is responsible for a particular action or activity in relation to other entities.
-
E.
characterPlayedByClaudetteColbert
Indicates that a given character is portrayed or acted by Claudette Colbert.
- 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_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. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.