Triple
T38117672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Quick Draw McGraw Show |
E951833
|
entity |
| Predicate | notableCharacterAlterEgo |
P86336
|
FINISHED |
| Object | El Kabong |
E923081
|
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: El Kabong | Statement: [The Quick Draw McGraw Show, notableCharacterAlterEgo, El Kabong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCharacterAlterEgo Context triple: [The Quick Draw McGraw Show, notableCharacterAlterEgo, El Kabong]
-
A.
hasFictionalAlterEgoOf
chosen
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
B.
protagonistAlterEgoOf
Indicates that one entity is the alternate identity or secret persona of the main character (protagonist) in a narrative.
-
C.
hasFictionalAlias
Indicates that an entity is known by an alternative name or identity within a fictional context.
-
D.
characterAlias
Indicates that one character is known or referred to by an alternative name or alias.
-
E.
antagonistAlterEgoOf
Indicates that one entity serves as the primary opposing force or enemy of another entity’s alternate identity or secret persona.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417120153c81908f46927d16425d58 |
completed | June 28, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.