Triple
T33121337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seth |
E847608
|
entity |
| Predicate | isSentientInFiction |
P175598
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Seth, isSentientInFiction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSentientInFiction Context triple: [Seth, isSentientInFiction, true]
-
A.
isFictionalCharacter
Indicates that the subject is a character that exists only in fiction rather than in real life.
-
B.
livesInFiction
Indicates that one entity exists or resides within the fictional world or narrative setting created by another entity.
-
C.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
D.
createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
-
E.
hasFictionalInhabitants
Indicates that a place or setting is inhabited by fictional or imaginary beings.
- F. None of above. chosen
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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d718e52c81908e158907db3ec765 |
completed | May 3, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d30b9e048190b0982e30b7fdfa3c |
completed | May 3, 2026, 4:46 a.m. |
Created at: May 1, 2026, 1:27 a.m.