Triple
T31152619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Farrokh Daruwalla |
E794118
|
entity |
| Predicate | hasDualIdentityTheme |
P108643
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dr. Farrokh Daruwalla, hasDualIdentityTheme, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDualIdentityTheme Context triple: [Dr. Farrokh Daruwalla, hasDualIdentityTheme, yes]
-
A.
hasDoppelgangerTheme
Indicates that something features or involves a doppelganger-related theme, such as doubles, look-alikes, or mirrored identities.
-
B.
hasMultipleIdentities
chosen
Indicates that a single entity is associated with more than one distinct identity or persona.
-
C.
hasDualSpace
Indicates that one mathematical space is the dual space consisting of all linear functionals defined on another space.
-
D.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
E.
identityTheme
Indicates a relationship where an entity’s core identity, role, or defining characteristic is thematically central or explicitly expressed in relation to another entity or 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:06 p.m.