Triple

T3561719
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv University E75352 entity
Predicate hasNotableAlumni P51 FINISHED
Object Ron Huldai
Ron Huldai is an Israeli politician and former fighter pilot best known for serving as the long-time mayor of Tel Aviv.
E369094 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: Ron Huldai | Statement: [Tel Aviv University, hasNotableAlumni, Ron Huldai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Huldai
Context triple: [Tel Aviv University, hasNotableAlumni, Ron Huldai]
  • A. Hartland Snyder
    Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
  • B. Wilson M. Tigard
    Wilson M. Tigard was an early settler and prominent local figure after whom the city of Tigard, Oregon, was named.
  • C. Roland Wilson
    Roland Wilson is a central character in the sitcom "The Golden Palace," known for his role in the ensemble that continues the story of the original "Golden Girls" cast.
  • D. Kenneth Utt
    Kenneth Utt was an American film producer best known for his work on acclaimed films such as "The Silence of the Lambs."
  • E. William Snyder
    William Snyder is an American photojournalist and editor renowned for his powerful visual storytelling, which earned him the Pulitzer Prize for Feature Photography.
  • 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: Ron Huldai
Triple: [Tel Aviv University, hasNotableAlumni, Ron Huldai]
Generated description
Ron Huldai is an Israeli politician and former fighter pilot best known for serving as the long-time mayor of Tel Aviv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ron Huldai
Target entity description: Ron Huldai is an Israeli politician and former fighter pilot best known for serving as the long-time mayor of Tel Aviv.
  • A. Hartland Snyder
    Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
  • B. Wilson M. Tigard
    Wilson M. Tigard was an early settler and prominent local figure after whom the city of Tigard, Oregon, was named.
  • C. Roland Wilson
    Roland Wilson is a central character in the sitcom "The Golden Palace," known for his role in the ensemble that continues the story of the original "Golden Girls" cast.
  • D. Kenneth Utt
    Kenneth Utt was an American film producer best known for his work on acclaimed films such as "The Silence of the Lambs."
  • E. William Snyder
    William Snyder is an American photojournalist and editor renowned for his powerful visual storytelling, which earned him the Pulitzer Prize for Feature Photography.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc08bdde88190915d2f6ddf26e00e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bba21960819094676de7c4740fd9 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bf69741481909e3d5ed71bb0e026 completed March 13, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69b3f299cfd08190948e602e8efab213 completed March 13, 2026, 11:18 a.m.
Created at: March 8, 2026, 3:21 p.m.