Triple
T31509484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broken English (2007 film) |
E803902
|
entity |
| Predicate | parentalFigurePortrayedBy |
P61229
|
FINISHED |
| Object | Gena Rowlands |
—
|
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: Gena Rowlands | Statement: [Broken English (2007 film), parentalFigurePortrayedBy, Gena Rowlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalFigurePortrayedBy Context triple: [Broken English (2007 film), parentalFigurePortrayedBy, Gena Rowlands]
-
A.
portrayedFamilyMemberOf
Indicates that one entity has depicted another entity as a member of their family, typically in a creative or representational context such as art, film, or literature.
-
B.
fictionalFatherCharacterPortrayedBy
Indicates that a fictional father character is portrayed or acted by a specific performer or actor.
-
C.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
D.
directorFatherOfLeadActress
Indicates that the film’s director is the father of the lead actress.
-
E.
motherPortrayedBy
chosen
Indicates that a person’s mother is depicted or played by a particular actor or performer.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 30, 2026, 9:49 p.m.