Triple
T25383701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connor MacManus |
E631460
|
entity |
| Predicate | partnerInVigilantism |
P82864
|
FINISHED |
| Object | Murphy MacManus |
—
|
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: Murphy MacManus | Statement: [Connor MacManus, partnerInVigilantism, Murphy MacManus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInVigilantism Context triple: [Connor MacManus, partnerInVigilantism, Murphy MacManus]
-
A.
relationshipToVigilantes
Indicates the nature or type of connection an entity has with vigilantes, such as affiliation, opposition, support, or other relational stance.
-
B.
partnerInCrime
Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
-
C.
partnerInMyth
Indicates a mythological relationship in which two entities are partners or companions within the same myth or mythic narrative.
-
D.
partnerInActWith
chosen
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
-
E.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f56566c5408190a8841d2c45dcf52c |
completed | May 2, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:46 p.m.