Triple

T9741902
Position Surface form Disambiguated ID Type / Status
Subject Josh Gad E236204 entity
Predicate birthName P65 FINISHED
Object Joshua Ilan Gad E236194 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: Joshua Ilan Gad | Statement: [Josh Gad, birthName, Joshua Ilan Gad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua Ilan Gad
Context triple: [Josh Gad, birthName, Joshua Ilan Gad]
  • A. Joshua Ilan Gad chosen
    Joshua Ilan Gad is an American actor and comedian best known for voicing Olaf in Disney's Frozen franchise and for his roles in film, television, and on Broadway.
  • B. Gilad Londovski
    Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
  • C. Harel Weinstein
    Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
  • D. Yoav Kutner
    Yoav Kutner is a technology entrepreneur best known as a co-founder of the Magento e-commerce platform and later founder of Varien Inc.
  • E. Gilad Bracha
    Gilad Bracha is a computer scientist and programming language designer known for his work on Strongtalk, the Java language specification, and the development of the Newspeak programming language.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40b0db081908b956484e3ff44c0 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:23 p.m.