Triple
T18334008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Matrix |
E439219
|
entity |
| Predicate | statusAtStartOfFilm |
P131402
|
FINISHED |
| Object | retired |
—
|
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: retired | Statement: [John Matrix, statusAtStartOfFilm, retired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtStartOfFilm Context triple: [John Matrix, statusAtStartOfFilm, retired]
-
A.
statusAtEndOfFilm
Indicates the condition or situation an entity is in when the film concludes.
-
B.
statusDuringFilm
Indicates that a particular status or condition holds for an entity during the time span in which a specified film takes place or is being made.
-
C.
statusInFirstFilm
Indicates the role, condition, or situation an entity has in its first film appearance.
-
D.
worksForAtStartOfFilm
Indicates that one entity is employed by or working for another entity at the beginning of the film's narrative.
-
E.
statusAfterFirstFilm
Indicates the status or condition of an entity immediately following the release or completion of its first film.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecbc76c8190a80c0c8c8bce1cbd |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:36 a.m.