Triple

T14096223
Position Surface form Disambiguated ID Type / Status
Subject Ehud Netzer E339259 entity
Predicate name P16 FINISHED
Object Ehud Netzer E339259 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: Ehud Netzer | Statement: [Ehud Netzer, name, Ehud Netzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ehud Netzer
Context triple: [Ehud Netzer, name, Ehud Netzer]
  • A. Ehud Netzer chosen
    Ehud Netzer was an Israeli archaeologist renowned for his excavations and research on Herodian-era sites, particularly those associated with King Herod.
  • B. Amnon Ben-Tor
    Amnon Ben-Tor is an Israeli archaeologist renowned for his leadership of major excavations at the ancient Canaanite and Israelite city of Hazor and his contributions to the study of Bronze and Iron Age archaeology in the Levant.
  • C. Amihai Mazar
    Amihai Mazar is a prominent Israeli archaeologist renowned for his influential excavations and research on the archaeology of ancient Israel and the Levant.
  • D. Tal Ben-Nun
    Tal Ben-Nun is a computer scientist and software engineer known for his contributions to Python, including co-authoring PEP 636 on structural pattern matching.
  • E. Carmel Yadin
    Carmel Yadin was the wife of prominent Israeli archaeologist, military leader, and politician Yigael Yadin.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0ac02488190b2114eb63ec604c3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.