Triple

T9958153
Position Surface form Disambiguated ID Type / Status
Subject Moni Naor E195495 entity
Predicate givenName P17 FINISHED
Object Moni E658087 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: Moni | Statement: [Moni Naor, givenName, Moni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moni
Context triple: [Moni Naor, givenName, Moni]
  • A. Moni chosen
    Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
  • B. Moni
    Moni is a small Greek island in the Saronic Gulf, known for its clear waters, pine forests, and free-roaming deer and peacocks.
  • C. Moniaive
    Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
  • D. Monias
    Monias is a bird genus in the mesite family, best known for the long-tailed ground-roller-like species endemic to Madagascar’s dry forests.
  • E. Munmun
    Munmun is a satirical young adult novel by Jesse Andrews that explores extreme economic inequality through a fantastical world where people’s physical size reflects their wealth.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cec7dc8190bb7e43c82a317707 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d7988948190bae81c1020f2b605 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:46 p.m.