Triple

T16247590
Position Surface form Disambiguated ID Type / Status
Subject Joshua Logan E394413 entity
Predicate notableWork P4 FINISHED
Object Camelot E854547 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: Camelot | Statement: [Joshua Logan, notableWork, Camelot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camelot
Context triple: [Joshua Logan, notableWork, Camelot]
  • A. Camelot chosen
    Camelot is a popular 1960 Broadway musical, with music by Frederick Loewe and lyrics and book by Alan Jay Lerner, that retells the legend of King Arthur and the Knights of the Round Table.
  • B. Camelot
    Camelot is a 1967 film adaptation of the Lerner and Loewe stage musical, depicting the legendary romance and political turmoil of King Arthur’s court.
  • C. Camelot
    Camelot is a historical-fantasy television series reimagining the Arthurian legend, in which Eva Green plays the powerful sorceress Morgan.
  • D. Pendragon
    Pendragon is the legendary surname and title associated with King Uther and his son King Arthur in Arthurian mythology, symbolizing their royal and dragon-linked lineage.
  • E. King Arthur's court
    King Arthur's court is the legendary royal household and chivalric center of King Arthur's realm, often depicted as a hub of knights, quests, and medieval romance.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245942460819080897afad0d2fe09 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee3bbc48190a56ce2807a9510f0 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.