Triple
T33954707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Brotherhood |
E870536
|
entity |
| Predicate | relationshipTypeWithMagnusPym |
P205260
|
FINISHED |
| Object | mentor–protégé |
—
|
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: mentor–protégé | Statement: [Jack Brotherhood, relationshipTypeWithMagnusPym, mentor–protégé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithMagnusPym Context triple: [Jack Brotherhood, relationshipTypeWithMagnusPym, mentor–protégé]
-
A.
relationshipToClarkKent
Indicates the specific personal, social, or familial connection that one entity has to Clark Kent.
-
B.
relationshipToHulk
Indicates the specific familial, social, or interpersonal connection an entity has with the Hulk.
-
C.
familyRelationTypeWithDianaPrince
Indicates the specific type of familial relationship an entity has with Diana Prince.
-
D.
relationshipToMarvelUniverse
Indicates the nature or type of connection an entity has to the Marvel universe, such as affiliation, role, or relevance within that fictional setting.
-
E.
relationshipToJonathanKent
Indicates the specific familial or personal relationship that an entity has to Jonathan Kent.
- F. None of above. chosen
Provenance (4 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:49 a.m.