Triple

T5927387
Position Surface form Disambiguated ID Type / Status
Subject Christopher Marlowe E131846 entity
Predicate notableWork P4 FINISHED
Object Dido, Queen of Carthage E110999 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: Dido, Queen of Carthage | Statement: [Christopher Marlowe, notableWork, Dido, Queen of Carthage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dido, Queen of Carthage
Context triple: [Christopher Marlowe, notableWork, Dido, Queen of Carthage]
  • A. Dido
    Dido is an English singer-songwriter known for her mellow, melodic pop music and worldwide hits such as "Thank You" and "White Flag."
  • B. Dido chosen
    Dido is the legendary queen of Carthage, best known from classical literature for her tragic love affair with the Trojan hero Aeneas.
  • C. Queen of Carthage
    The Queen of Carthage, traditionally identified as Dido or Elissa, is the legendary founder and first ruler of the ancient North African city of Carthage, famed from both Phoenician lore and Greco-Roman epic.
  • D. Creusa
    Creusa is a figure in Greek mythology, best known as a Trojan princess and the wife of the hero Aeneas.
  • E. Creusa
    Creusa is a figure in Greek mythology, often depicted as an Athenian princess and mother of Ion in Euripides’ tragedy.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0385592b48190a885efb9549d88c7 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05460c481908f3efde19e3ffa2a completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.