Triple
T10281238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letty Ortiz |
E241104
|
entity |
| Predicate | statusInFastAndFurious |
P83430
|
FINISHED |
| Object | presumed dead after Fast & Furious (2009) |
—
|
LITERAL FINISHED |
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: presumed dead after Fast & Furious (2009) | Statement: [Letty Ortiz, statusInFastAndFurious, presumed dead after Fast & Furious (2009)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInFastAndFurious Context triple: [Letty Ortiz, statusInFastAndFurious, presumed dead after Fast & Furious (2009)]
-
A.
statusInAvengersInfinityWar
Indicates the character’s role, condition, or situation specifically during the events of the film *Avengers: Infinity War*.
-
B.
raceStatus
Indicates the current state or progress of an entity’s participation in a race or competitive event.
-
C.
statusInTVSeries
Indicates the role or standing an entity holds within a particular TV series, such as main, recurring, or guest status.
-
D.
statusAtEndOfFilm
chosen
Indicates the condition or situation an entity is in when the film concludes.
-
E.
statusInFirstFilm
Indicates the role, condition, or situation an entity has in its first film appearance.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:39 a.m.