Triple
T28976067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales of Suspense |
E734412
|
entity |
| Predicate | notableVillainIntroduced |
P127820
|
FINISHED |
| Object | The Mandarin |
E353857
|
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: The Mandarin | Statement: [Tales of Suspense, notableVillainIntroduced, The Mandarin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableVillainIntroduced Context triple: [Tales of Suspense, notableVillainIntroduced, The Mandarin]
-
A.
fullyIntroducedAsAntagonistIn
Indicates that an entity is completely and explicitly presented in a work as an antagonist within the specified context or narrative.
-
B.
introducedIconicVillains
chosen
Indicates that an entity is responsible for first presenting or bringing into prominence villains that later became widely recognized as iconic.
-
C.
notableCharacterCreated
Indicates that one entity is a notable or significant character that was created by another entity.
-
D.
notableAdversary
Indicates that one entity is recognized as a significant or prominent opponent or rival of another entity.
-
E.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a01cb89ff448190b60ee3d148ce76fc |
completed | May 11, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2505accfb88190a1810e8a4976ca3b |
completed | June 7, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_6a01ca7604b48190bb8643c17c3a8c85 |
completed | May 11, 2026, 12:24 p.m. |
Created at: April 28, 2026, 9:08 a.m.