Triple
T35250218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirror Universe |
E1018073
|
entity |
| Predicate | notableCharacterCounterpart |
P119439
|
FINISHED |
| Object | Mirror James T. Kirk |
E115968
|
NE 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: Mirror James T. Kirk | Statement: [Mirror Universe, notableCharacterCounterpart, Mirror James T. Kirk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCharacterCounterpart Context triple: [Mirror Universe, notableCharacterCounterpart, Mirror James T. Kirk]
-
A.
isRelatedFictionalCounterpartTo
Indicates that one entity is the fictional or imagined counterpart, analogue, or version of another entity.
-
B.
fictionalCounterpartIn
Indicates that one entity serves as a fictional analogue or stand-in for another entity within a specified work or fictional universe.
-
C.
notableCounterpart
chosen
Indicates that one entity is a particularly prominent or significant counterpart, equivalent, or parallel to another entity in some shared context.
-
D.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
E.
characterRealWorldCounterpart
Indicates that a fictional character is based on, inspired by, or directly corresponds to a specific real-world person.
- F. None of above.
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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3819d1e1ac81909112503b98b547cb |
completed | June 21, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.