Triple
T24872492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponyboy Curtis |
E622472
|
entity |
| Predicate | belongsToSocialGroup |
P12263
|
FINISHED |
| Object | Greasers |
—
|
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: Greasers | Statement: [Ponyboy Curtis, belongsToSocialGroup, Greasers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSocialGroup Context triple: [Ponyboy Curtis, belongsToSocialGroup, Greasers]
-
A.
hasSocialGroup
Indicates that an entity belongs to, is associated with, or participates in a particular social group or community.
-
B.
belongsToGroup
chosen
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
C.
memberOfGroupWith
Indicates that an entity belongs to, or is associated as a member with, a particular group or collection of entities.
-
D.
socialGroupInvolved
Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
-
E.
hasRelatedGroup
Indicates that one group or collection is associated with another group or collection through some defined relationship or connection.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 5:23 a.m.