Triple

T8447425
Position Surface form Disambiguated ID Type / Status
Subject Gal Gadot E199710 entity
Predicate givenName P17 FINISHED
Object Gal
Gal is the first name of Israeli actress and model Gal Gadot, internationally known for portraying Wonder Woman in the DC Extended Universe films.
 E733915 NE FINISHED

How this triple was built (4 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 | Statement: [Gal Gadot, givenName, Gal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gal
Context triple: [Gal Gadot, givenName, Gal]
  • A. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • B. Gro
    Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
  • C. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • D. GV
    GV is a common shorthand nickname for Grand Valley State University, a public university in Allendale, Michigan.
  • E. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gal
Triple: [Gal Gadot, givenName, Gal]
Generated description
Gal is the first name of Israeli actress and model Gal Gadot, internationally known for portraying Wonder Woman in the DC Extended Universe films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gal
Target entity description: Gal is the first name of Israeli actress and model Gal Gadot, internationally known for portraying Wonder Woman in the DC Extended Universe films.
  • A. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • B. Gro
    Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
  • C. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • D. GV
    GV is a common shorthand nickname for Grand Valley State University, a public university in Allendale, Michigan.
  • E. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • F. None of above. chosen

Provenance (5 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_69ce1db6330c81909c853c453fddf3c5 completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1ea3aaf881909562b65cefb20089 completed April 2, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_69ce1f8d748c81909b331ed822919447 completed April 2, 2026, 7:49 a.m.
Created at: March 30, 2026, 6:09 p.m.