Triple
T25194023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Peletier |
E630953
|
entity |
| Predicate | guardianInComics |
P28704
|
FINISHED |
| Object | Maggie Greene |
—
|
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: Maggie Greene | Statement: [Sophia Peletier, guardianInComics, Maggie Greene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guardianInComics Context triple: [Sophia Peletier, guardianInComics, Maggie Greene]
-
A.
guardian
chosen
Indicates a protective or custodial relationship in which one entity is responsible for the care, safety, or oversight of another.
-
B.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
C.
heroDepicted
Indicates that one entity is portrayed or represented as a hero in relation to another entity.
-
D.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
E.
starGuardOfChampion
Indicates that one entity serves as the primary or most prominent protector or guardian of a champion.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46e1206f88190bfacdc420027c354 |
completed | May 1, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:45 p.m.