Triple

T4826283
Position Surface form Disambiguated ID Type / Status
Subject Paris E107832 entity
Predicate sibling P363 FINISHED
Object Hector E103081 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: Hector | Statement: [Paris, sibling, Hector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hector
Context triple: [Paris, sibling, Hector]
  • A. Hector chosen
    Hector is the noble Trojan prince and greatest warrior of Troy in Greek mythology, renowned for his bravery and tragic death in Homer's Iliad.
  • B. Diomed
    Diomed was an 18th-century British Thoroughbred racehorse best known for winning the inaugural Epsom Derby and later becoming an influential sire in American bloodlines.
  • C. Achilles
    Achilles is a legendary Greek hero of the Trojan War, famed for his near invincibility, martial prowess, and central role in Homer's Iliad.
  • D. Diomedon
    Diomedon was an Athenian naval commander during the Peloponnesian War, noted for his role in major late-war battles against Sparta.
  • E. François de Troy
    François de Troy was a prominent French Baroque painter and portraitist known for his refined depictions of the French aristocracy in the late 17th and early 18th centuries.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fa6479c8190b04c2ff50b98ad1d completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:24 p.m.