Triple
T24438130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shen Te |
E616179
|
entity |
| Predicate | alterEgoRole |
P86336
|
FINISHED |
| Object | Shui Ta is a ruthless, pragmatic businessman persona |
—
|
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: Shui Ta is a ruthless, pragmatic businessman persona | Statement: [Shen Te, alterEgoRole, Shui Ta is a ruthless, pragmatic businessman persona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alterEgoRole Context triple: [Shen Te, alterEgoRole, Shui Ta is a ruthless, pragmatic businessman persona]
-
A.
characterRoleSwap
Indicates a relationship where two characters exchange or assume each other’s narrative roles or functions within a story or scenario.
-
B.
actsInSteadOf
Indicates that one entity performs an action or fulfills a role as a substitute or proxy for another entity.
-
C.
hasFictionalAlterEgoOf
chosen
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
D.
replacesCharacterInRole
Indicates that one character takes over and performs the same role previously held by another character.
-
E.
covertRole
Indicates that an entity holds or performs a hidden, secret, or undercover role in relation to another entity or context.
- F. None of above.
Provenance (3 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f297881fa08190b82bdc5ebeae96f7 |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.