Triple
T14575153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maudie Atkinson |
E342021
|
entity |
| Predicate | attitudeTowardRacism |
P15143
|
FINISHED |
| Object | disapproves of racial prejudice in Maycomb |
—
|
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: disapproves of racial prejudice in Maycomb | Statement: [Maudie Atkinson, attitudeTowardRacism, disapproves of racial prejudice in Maycomb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardRacism Context triple: [Maudie Atkinson, attitudeTowardRacism, disapproves of racial prejudice in Maycomb]
-
A.
attitudeTowardDiversity
chosen
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
-
B.
cultAttitude
Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
-
C.
politicalAttitude
Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
-
D.
raceRole
Indicates the specific role, position, or function an entity holds within a race or racing event.
-
E.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.