Triple
T35806580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mean Mark Callous |
E1035115
|
entity |
| Predicate | laterPersonaOf |
P202451
|
FINISHED |
| Object | The Undertaker |
—
|
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: The Undertaker | Statement: [Mean Mark Callous, laterPersonaOf, The Undertaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterPersonaOf Context triple: [Mean Mark Callous, laterPersonaOf, The Undertaker]
-
A.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
B.
ultimatePersona
Indicates that one entity represents the final, most complete, or most authoritative persona or identity of another entity.
-
C.
actsInSteadOf
Indicates that one entity performs an action or fulfills a role as a substitute or proxy for another entity.
-
D.
laterPortrayedBy
Indicates that an entity is subsequently depicted or played by another entity in a later work or time.
-
E.
laterMainCharacterOf
Indicates that one entity becomes the main character of a work at a later point in time, succeeding another main character.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a008098e5dc8190b7ccad8bab780343 |
completed | May 10, 2026, 12:56 p.m. |
| PD | Predicate disambiguation | batch_6a008037267c8190990225a6ff0b3694 |
completed | May 10, 2026, 12:55 p.m. |
| PDg | Predicate description generation | batch_6a00809836f081908de40255d4f4d525 |
completed | May 10, 2026, 12:56 p.m. |
Created at: May 3, 2026, 4:06 p.m.