Triple
T37911343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Phoenix Saga |
E945696
|
entity |
| Predicate | focusesOnTransformationOf |
P31
|
FINISHED |
| Object | Jean Grey |
—
|
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: Jean Grey | Statement: [The Phoenix Saga, focusesOnTransformationOf, Jean Grey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnTransformationOf Context triple: [The Phoenix Saga, focusesOnTransformationOf, Jean Grey]
-
A.
showsTransformationOf
Indicates that one entity visually or conceptually presents the process or result of another entity changing from one state, form, or condition to another.
-
B.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
focusAfterTransformation
Indicates that an entity’s focus or attention occurs or is established only after a specified transformation or change has taken place.
-
D.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
E.
transformedIn
Indicates that one entity has been changed, converted, or altered into another state, form, or representation within a specific context or process.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
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, 4:20 p.m.