Triple

T5896280
Position Surface form Disambiguated ID Type / Status
Subject Capitoline Museums E131108 entity
Predicate containsWork P2011 FINISHED
Object Dying Gaul E417460 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: Dying Gaul | Statement: [Capitoline Museums, containsWork, Dying Gaul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dying Gaul
Context triple: [Capitoline Museums, containsWork, Dying Gaul]
  • A. Dying Gaul chosen
    Dying Gaul is an ancient Hellenistic marble sculpture depicting a wounded Gallic warrior in his final moments, renowned for its realistic anatomy and poignant expression of human suffering.
  • B. Lion of Chaeronea
    The Lion of Chaeronea is an ancient funerary monument in Greece commemorating the Sacred Band of Thebes, who fell in the Battle of Chaeronea in 338 BC.
  • C. Ariaeus
    Ariaeus was a Persian military commander who served under Cyrus the Younger during his campaign against Artaxerxes II.
  • D. Theo Maledon
    Theo Maledon is a French professional basketball player and NBA guard known for his playmaking skills and experience in both European leagues and the NBA.
  • E. Dionysodorus
    Dionysodorus is a sophist who appears as a debating character in Plato’s dialogue "Euthydemus," known for his eristic and paradoxical argumentation.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f4b56c8190aa52c9460eae8fbe completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.