Triple
T35198798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yancy Street Gang |
E1016339
|
entity |
| Predicate | memberOfFictionalEthnicityOrGroup |
P75242
|
FINISHED |
| Object | Lower East Side street kids |
—
|
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: Lower East Side street kids | Statement: [Yancy Street Gang, memberOfFictionalEthnicityOrGroup, Lower East Side street kids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfFictionalEthnicityOrGroup Context triple: [Yancy Street Gang, memberOfFictionalEthnicityOrGroup, Lower East Side street kids]
-
A.
associatedWithFictionalGroup
Indicates that an entity has a connection or affiliation with a fictional group, organization, or collective.
-
B.
roleWithinEthnicGroup
Indicates the specific social, cultural, or functional position an entity holds within a particular ethnic group.
-
C.
isObservedByFictionalGroup
Indicates that an entity is being watched, monitored, or studied by a fictional group or organization.
-
D.
partOfFictionalGroup
chosen
Indicates that an entity belongs to or is a member of a specific fictional group, organization, or team.
-
E.
usedByFictionalGroup
Indicates that something is utilized or employed by a fictional group or organization within a narrative context.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:02 p.m.