Triple
T23481807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lonesome Death of Jordy Verrill |
E570424
|
entity |
| Predicate | segmentOrderInFilm |
P77503
|
FINISHED |
| Object | second segment |
—
|
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: second segment | Statement: [The Lonesome Death of Jordy Verrill, segmentOrderInFilm, second segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentOrderInFilm Context triple: [The Lonesome Death of Jordy Verrill, segmentOrderInFilm, second segment]
-
A.
sequenceInFilm
chosen
Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
-
B.
filmAppearanceOrder
Indicates the sequence in which a character or element appears within a film, relative to other appearances.
-
C.
precedesInFilm
Indicates that one film is released or occurs earlier in sequence or narrative order than another film.
-
D.
inheritedByInFilm
Indicates that a character, role, or attribute is passed on or taken over by another character within the narrative of a film.
-
E.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a75118048190b4af687906c4e747 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:03 p.m.