Triple

T19678178
Position Surface form Disambiguated ID Type / Status
Subject Alexander E472509 entity
Predicate appearsIn P795 FINISHED
Object Posthomerica NE NERFINISHED

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: Posthomerica | Statement: [Alexander, appearsIn, Posthomerica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Posthomerica
Context triple: [Alexander, appearsIn, Posthomerica]
  • A. Posthomerica chosen
    Posthomerica is an epic poem by Quintus of Smyrna that continues the narrative of the Trojan War from where Homer’s Iliad ends.
  • B. Fall of Troy
    The Fall of Troy is the legendary conclusion of the Trojan War in Greek mythology, marked by the Greeks’ deceptive use of the Trojan Horse to infiltrate and destroy the city of Troy.
  • C. Kings of Troy
    Kings of Troy refers to the legendary monarchs who ruled the ancient city of Troy in Greek mythology, including figures such as Ilus, Laomedon, and Priam.
  • D. Lord of Athens
    Lord of Athens was a medieval feudal title held by the Frankish ruler who controlled the city and region of Athens after the Fourth Crusade.
  • E. In the Land of Blood and Honey
    In the Land of Blood and Honey is a 2011 war drama film set during the Bosnian War that explores a complex relationship between a Serbian soldier and a Bosnian Muslim woman amid ethnic conflict and atrocities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bda8348190b0c7816c50aca923 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.