Triple
T32637866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seth Wright |
E834396
|
entity |
| Predicate | worksUnderFictionalCharacter |
P170998
|
FINISHED |
| Object | President Tom Kirkman |
—
|
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: President Tom Kirkman | Statement: [Seth Wright, worksUnderFictionalCharacter, President Tom Kirkman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksUnderFictionalCharacter Context triple: [Seth Wright, worksUnderFictionalCharacter, President Tom Kirkman]
-
A.
worksWithFictionalCharacter
Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
-
B.
worksUnderInFiction
chosen
Indicates that, within a fictional context or narrative, one character or entity is hierarchically subordinate to and takes direction from another.
-
C.
inspiredByFictionalCharacter
Indicates that an entity’s characteristics, actions, or creation are influenced or modeled after a specific fictional character.
-
D.
collaboratesWithCharacter
Indicates that one character works together with another character toward a shared goal or activity.
-
E.
worksUnderCharacter
Indicates that one character is hierarchically subordinate to another and performs their duties under that character’s authority or supervision.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:07 a.m.