Triple
T32190185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persis Khambatta |
E822216
|
entity |
| Predicate | modelingTitle |
P38
|
FINISHED |
| Object | Miss India |
—
|
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: Miss India | Statement: [Persis Khambatta, modelingTitle, Miss India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modelingTitle Context triple: [Persis Khambatta, modelingTitle, Miss India]
-
A.
titleRepresents
Indicates that a given title stands for, denotes, or symbolizes a particular concept, role, work, or entity.
-
B.
titleDescription
Indicates that one entity serves as a descriptive or explanatory subtitle or summary associated with the title of another entity.
-
C.
aimedTitle
Indicates that one entity is the intended or targeted title or heading associated with another entity.
-
D.
title
chosen
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bacbaa208190b1edec2032701044 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.