Triple

T9129220
Position Surface form Disambiguated ID Type / Status
Subject Shiloh E219039 entity
Predicate associatedWithPerson P37 FINISHED
Object Eli the priest E455660 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: Eli the priest | Statement: [Shiloh, associatedWithPerson, Eli the priest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eli the priest
Context triple: [Shiloh, associatedWithPerson, Eli the priest]
  • A. Isaac of Nineveh
    Isaac of Nineveh was a 7th-century Syriac Christian bishop and mystic renowned for his influential writings on asceticism, prayer, and divine mercy.
  • B. Eli chosen
    Eli is a biblical high priest and judge of Israel known for mentoring the prophet Samuel and presiding over the sanctuary at Shiloh.
  • C. Eli
    "Eli" is a 2019 Netflix horror film about a boy with a mysterious illness who undergoes experimental treatment in a secluded facility where sinister supernatural events unfold.
  • D. Eli
    Eli is a given name most famously associated with American inventor Eli Whitney, known for creating the cotton gin.
  • E. Eli
    Eli is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient brotherhood promising immortality at a terrible cost.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cc85b081908ee80db0e3b7df15 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a934988190976aa359f9f902c3 completed April 3, 2026, 9:27 p.m.
Created at: March 30, 2026, 7:18 p.m.