Triple
T28404053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 'Killer' Mannion |
E719470
|
entity |
| Predicate | sharesFilmWithCharacter |
P193530
|
FINISHED |
| Object | Arthur Ferguson Jones |
—
|
NE NERFINISHED |
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: Arthur Ferguson Jones | Statement: ['Killer' Mannion, sharesFilmWithCharacter, Arthur Ferguson Jones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesFilmWithCharacter Context triple: ['Killer' Mannion, sharesFilmWithCharacter, Arthur Ferguson Jones]
-
A.
sharesCharacterWith
Indicates that two entities have at least one character (such as a letter, symbol, or glyph) in common.
-
B.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
C.
sharesScreenWithCharacter
Indicates that one character appears on screen at the same time as another character, sharing the visual scene.
-
D.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
E.
sharesProtagonistWith
Indicates that two narrative works feature the same main protagonist character.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: April 28, 2026, 1:22 a.m.