Triple
T37138279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fara Sherazi |
E920031
|
entity |
| Predicate | portrayedByEthnicBackground |
P76774
|
FINISHED |
| Object | Iranian-British |
—
|
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: Iranian-British | Statement: [Fara Sherazi, portrayedByEthnicBackground, Iranian-British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByEthnicBackground Context triple: [Fara Sherazi, portrayedByEthnicBackground, Iranian-British]
-
A.
portrayedByEthnicity
chosen
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
-
B.
leadActorEthnicity
Indicates the ethnic background or identity of the primary (lead) actor in a work.
-
C.
portrayalNationalityOfActor
Indicates that an actor portrays a character of a specified nationality in a performance or work.
-
D.
spokenByEthnicGroup
Indicates that a particular language, dialect, or speech variety is used or spoken by a specified ethnic group.
-
E.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
Created at: May 3, 2026, 4:15 p.m.