Triple

T14369979
Position Surface form Disambiguated ID Type / Status
Subject Avital Sharansky E356333 entity
Predicate givenName P17 FINISHED
Object Avital
Avital is a Hebrew given name commonly used for both males and females, often associated with Israeli culture and notable public figures.
E1096922 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: Avital | Statement: [Avital Sharansky, givenName, Avital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avital
Context triple: [Avital Sharansky, givenName, Avital]
  • A. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • B. Margalit
    Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • C. Yona Efrat
    Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
  • D. Eynat
    Eynat is a feminine given name of Hebrew origin, commonly used in Israel.
  • E. Karmei Tzur
    Karmei Tzur is an Israeli settlement in the Gush Etzion region of the West Bank, located north of Hebron and known as a small religious community.
  • 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: Avital
Triple: [Avital Sharansky, givenName, Avital]
Generated description
Avital is a Hebrew given name commonly used for both males and females, often associated with Israeli culture and notable public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avital
Target entity description: Avital is a Hebrew given name commonly used for both males and females, often associated with Israeli culture and notable public figures.
  • A. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • B. Margalit
    Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • C. Yona Efrat
    Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
  • D. Eynat
    Eynat is a feminine given name of Hebrew origin, commonly used in Israel.
  • E. Karmei Tzur
    Karmei Tzur is an Israeli settlement in the Gush Etzion region of the West Bank, located north of Hebron and known as a small religious community.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550e677c8190837c3b9ccb64f0cd completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5637a46881908f3a4b26cc2159ca completed May 8, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_69fd56ae779c81908e09866913df3e3e completed May 8, 2026, 3:21 a.m.
Created at: April 10, 2026, 1:15 a.m.