Triple
T31703153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie |
E809110
|
entity |
| Predicate | hasFilmAdaptationPortrayal |
P106159
|
FINISHED |
| Object | Fool for Love (1985 film) |
—
|
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: Fool for Love (1985 film) | Statement: [Eddie, hasFilmAdaptationPortrayal, Fool for Love (1985 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmAdaptationPortrayal Context triple: [Eddie, hasFilmAdaptationPortrayal, Fool for Love (1985 film)]
-
A.
portrayedInAdaptationOf
chosen
Indicates that an entity is depicted as a character or role within an adaptation (such as a film, series, or game) that is based on another original work.
-
B.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
C.
hasFilmAdaptationTitle
Indicates that a creative work has a film adaptation whose title is given by the related value.
-
D.
hasTelevisionFilmAdaptation
Indicates that a work has been adapted into a film produced specifically for television.
-
E.
hasYoungPortrayalOf
Indicates that one entity is a portrayal or depiction of another entity specifically in their younger age or earlier life stage.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 30, 2026, 11:12 p.m.