Triple
T26088940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajax |
E658062
|
entity |
| Predicate | hasNemesisRelationshipWith |
P172646
|
FINISHED |
| Object | Deadpool |
—
|
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: Deadpool | Statement: [Ajax, hasNemesisRelationshipWith, Deadpool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNemesisRelationshipWith Context triple: [Ajax, hasNemesisRelationshipWith, Deadpool]
-
A.
hasFriendEnemyRelationshipWith
Indicates a relationship where two entities are simultaneously connected as both friends and enemies, reflecting a mixed or ambivalent association between them.
-
B.
wasEnemyOf
chosen
Indicates that one entity regarded or interacted with another as an adversary or opponent, typically in a hostile or conflicting relationship.
-
C.
relationshipWithAntagonist
Indicates a relationship or connection that an entity has with an opposing or adversarial figure in a narrative or context.
-
D.
laterEnemyOf
Indicates that one entity becomes an enemy of another at a later time, after not initially being in an antagonistic relationship.
-
E.
hasAntagonisticProtagonist
Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 26, 2026, 7:45 p.m.