Triple
T19236912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thebez |
E481022
|
entity |
| Predicate | hasGenderedAgentInStory |
P99057
|
FINISHED |
| Object | unnamed woman |
—
|
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: unnamed woman | Statement: [Thebez, hasGenderedAgentInStory, unnamed woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenderedAgentInStory Context triple: [Thebez, hasGenderedAgentInStory, unnamed woman]
-
A.
hasGenderInText
Indicates that a specified gender is explicitly mentioned or assigned to an entity within a given text.
-
B.
hasFemaleCharacter
chosen
Indicates that an entity includes or features at least one female character.
-
C.
hasLeadCharacterGender
Indicates that the primary or lead character in a work has a specified gender.
-
D.
hasGenderRole
Indicates that an entity is associated with, or expected to perform, a particular socially defined gender-based role or set of behaviors.
-
E.
hadGender
Indicates that an entity possessed a specific gender.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faed9ef0819085035cc17d1546e5 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.