Triple
T8449746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil Blonsky |
E199770
|
entity |
| Predicate | statusAtEndOfFilm |
P83430
|
FINISHED |
| Object | defeated |
—
|
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: defeated | Statement: [Emil Blonsky, statusAtEndOfFilm, defeated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtEndOfFilm Context triple: [Emil Blonsky, statusAtEndOfFilm, defeated]
-
A.
statusAfterFirstFilm
Indicates the status or condition of an entity immediately following the release or completion of its first film.
-
B.
endedWithFilm
Indicates that an event, series, or process concluded with the showing, release, or occurrence of a particular film.
-
C.
statusInFirstFilm
Indicates the role, condition, or situation an entity has in its first film appearance.
-
D.
finalFilmPerformanceOf
Indicates that one entity is the last film performance or role undertaken by the other entity before they stopped acting in films.
-
E.
statusEndsWhen
Indicates that a particular status or condition ceases to hold when a specified event, time, or state occurs.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:09 p.m.