Triple
T11982507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrielle Anwar |
E285196
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gabrielle Anwar |
E285196
|
NE 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: Gabrielle Anwar | Statement: [Gabrielle Anwar, name, Gabrielle Anwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Anwar Context triple: [Gabrielle Anwar, name, Gabrielle Anwar]
-
A.
Gabrielle Anwar
chosen
Gabrielle Anwar is a British-American actress best known for roles in projects like "Scent of a Woman," "The Tudors," and "Burn Notice."
-
B.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
C.
Dina Dalal
Dina Dalal is a fiercely independent, middle-aged Parsi widow in Mumbai whose struggle to maintain autonomy amid political turmoil and social injustice forms the emotional core of Rohinton Mistry’s novel *A Fine Balance*.
-
D.
Dina Shihabi
Dina Shihabi is a Saudi Arabian–born actress known for her prominent roles in American film and television, including the series "Jack Ryan."
-
E.
Najwa Nimri
Najwa Nimri is a Spanish actress and singer best known internationally for her roles in acclaimed series like "Money Heist" and "Vis a Vis."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4721913108190bd767c671f6484de |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.