Triple
T8447424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gal Gadot |
E199710
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Gal Gadot-Varsano |
E199710
|
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: Gal Gadot-Varsano | Statement: [Gal Gadot, birthName, Gal Gadot-Varsano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gal Gadot-Varsano Context triple: [Gal Gadot, birthName, Gal Gadot-Varsano]
-
A.
Gal Gadot
chosen
Gal Gadot is an Israeli actress and model best known internationally for portraying Wonder Woman in the DC Extended Universe films.
-
B.
Ruby Rose
Ruby Rose is an Australian model, DJ, and actress known for her androgynous style and roles in action films and television series such as "Orange Is the New Black."
-
C.
Ana de Armas
Ana de Armas is a Cuban-Spanish actress known for her breakout roles in films such as "Blade Runner 2049," "Knives Out," and "Blonde."
-
D.
Morena Baccarin
Morena Baccarin is a Brazilian-American actress known for her roles in television series such as "Homeland," "Firefly," and "Gotham," as well as the "Deadpool" film franchise.
-
E.
Anna Reinhart
Anna Reinhart was the wife of Swiss Reformation leader Huldrych Zwingli and is known primarily for her association with his life and work in early 16th-century Zurich.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44480ec8190b32443a53cd4f943 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39b528f08190a0627cb17a0ffef9 |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.