Triple

T10886285
Position Surface form Disambiguated ID Type / Status
Subject Nechama Rivlin E257053 entity
Predicate givenName P17 FINISHED
Object Nechama
Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
E890607 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: Nechama | Statement: [Nechama Rivlin, givenName, Nechama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nechama
Context triple: [Nechama Rivlin, givenName, Nechama]
  • A. Margalit
    Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • B. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • C. Binyamina
    Binyamina is a town in northern Israel known for its vineyards, wineries, and role as a regional transportation hub.
  • D. 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.
  • 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: Nechama
Triple: [Nechama Rivlin, givenName, Nechama]
Generated description
Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nechama
Target entity description: Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
  • A. Margalit
    Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • B. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • C. Binyamina
    Binyamina is a town in northern Israel known for its vineyards, wineries, and role as a regional transportation hub.
  • D. 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.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dea1a88190b916879be8d74413 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.