Triple
T14707923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercy (Arya) chapter |
E345474
|
entity |
| Predicate | hasMainCharacterArcElement |
P36856
|
FINISHED |
| Object | Arya’s progress as a Faceless Man acolyte |
—
|
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: Arya’s progress as a Faceless Man acolyte | Statement: [Mercy (Arya) chapter, hasMainCharacterArcElement, Arya’s progress as a Faceless Man acolyte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCharacterArcElement Context triple: [Mercy (Arya) chapter, hasMainCharacterArcElement, Arya’s progress as a Faceless Man acolyte]
-
A.
hasMainPlotElement
Indicates that one entity serves as a central or primary plot element within the narrative of another entity.
-
B.
characterArcElement
chosen
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
C.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
D.
hasMainCharacterDiscussed
Indicates that the main character has engaged in a discussion or conversation about a particular subject or with another entity.
-
E.
hasMainThemeCharacter
Indicates that a work (such as a story, film, or game) features a specific character as its central or primary thematic focus.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb609965081908f654bcb9eaaa145 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.