Triple
T12944164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sexy |
E309717
|
entity |
| Predicate | featuresCharacterOfEthnicity |
P27835
|
FINISHED |
| Object | Indian American 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: Indian American woman | Statement: [Sexy, featuresCharacterOfEthnicity, Indian American woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCharacterOfEthnicity Context triple: [Sexy, featuresCharacterOfEthnicity, Indian American woman]
-
A.
hasEthnicCharacteristic
chosen
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
B.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
diasporaCharacteristic
Indicates that an entity possesses a quality, feature, or attribute specifically associated with a diaspora community or condition.
-
E.
ethnicGroupDepicted
Indicates that a particular ethnic group is visually represented or portrayed in the subject entity (such as an image, artwork, or media item).
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.