Triple
T37876681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazer Rackham |
E944743
|
entity |
| Predicate | heritageInFilm |
P144880
|
FINISHED |
| Object | Maori (in 2013 film adaptation) |
—
|
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: Maori (in 2013 film adaptation) | Statement: [Mazer Rackham, heritageInFilm, Maori (in 2013 film adaptation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heritageInFilm Context triple: [Mazer Rackham, heritageInFilm, Maori (in 2013 film adaptation)]
-
A.
filmHistory
Indicates that there is a historical or background connection between a film and another entity, such as its development, production, or past events related to it.
-
B.
heritageSeries
Indicates that one entity is part of, or belongs to, a heritage-related series or collection associated with another entity.
-
C.
hasPartInFilmHistory
Indicates that an entity has played a role or contributed in some way to the history or development of film.
-
D.
inFilmMusicHistory
Indicates that something plays a role or is featured within the historical development or context of film music.
-
E.
heritageInFiction
chosen
Indicates that a work of fiction features or references a particular cultural, national, or historical heritage as part of its narrative or setting.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: May 3, 2026, 4:19 p.m.