Triple

T15526613
Position Surface form Disambiguated ID Type / Status
Subject Dov Hoz E369099 entity
Predicate familyName P18 FINISHED
Object Hoz
Hoz is a Hebrew surname most notably associated with Dov Hoz, a prominent early Zionist leader and one of the founders of the Haganah.
E1161520 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: Hoz | Statement: [Dov Hoz, familyName, Hoz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoz
Context triple: [Dov Hoz, familyName, Hoz]
  • A. Hozat
    Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
  • B. Hazo
    Hazo is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Nahor, Abraham’s brother.
  • C. Hozukius
    Hozukius is a genus of marine ray-finned fishes in the rockfish family Sebastidae, known from deep or cold temperate waters of the North Pacific.
  • D. Hozomon
    Hozomon is the grand inner gate of Senso-ji Temple in Asakusa, Tokyo, known for its massive red lanterns and imposing traditional architecture.
  • E. Unhos
    Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
  • 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: Hoz
Triple: [Dov Hoz, familyName, Hoz]
Generated description
Hoz is a Hebrew surname most notably associated with Dov Hoz, a prominent early Zionist leader and one of the founders of the Haganah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoz
Target entity description: Hoz is a Hebrew surname most notably associated with Dov Hoz, a prominent early Zionist leader and one of the founders of the Haganah.
  • A. Hozat
    Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
  • B. Hazo
    Hazo is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Nahor, Abraham’s brother.
  • C. Hozukius
    Hozukius is a genus of marine ray-finned fishes in the rockfish family Sebastidae, known from deep or cold temperate waters of the North Pacific.
  • D. Hozomon
    Hozomon is the grand inner gate of Senso-ji Temple in Asakusa, Tokyo, known for its massive red lanterns and imposing traditional architecture.
  • E. Unhos
    Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d598e6c8190870e9249197f5f53 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3de663848190936a5b1d31d18c75 completed May 9, 2026, 2 p.m.
NED2 Entity disambiguation (via description) batch_69ff3e8c5f308190a335dbc45f9d88ee completed May 9, 2026, 2:02 p.m.
Created at: April 10, 2026, 4:05 a.m.