Triple

T7138885
Position Surface form Disambiguated ID Type / Status
Subject The Land of Take-What-You-Want E166386 entity
Predicate appearsToCharacters P66140 FINISHED
Object Jo E59674 NE FINISHED

How this triple was built (3 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: Jo | Statement: [The Land of Take-What-You-Want, appearsToCharacters, Jo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo
Context triple: [The Land of Take-What-You-Want, appearsToCharacters, Jo]
  • A. Jo chosen
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • B. JoJo
    JoJo is an American singer and songwriter known for her powerful vocals and early 2000s pop and R&B hits like "Leave (Get Out)" and "Too Little Too Late."
  • C. Jos
    Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
  • D. Jon
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • E. Jud
    Jud is a masculine given name, often used as a short form of names like Judson or Judah.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appearsToCharacters
Context triple: [The Land of Take-What-You-Want, appearsToCharacters, Jo]
  • A. appearsWithCharacter
    Indicates that two characters are shown or present together within the same scene, shot, or context.
  • B. hasCharacterAppearance chosen
    Indicates that a character appears or is visually represented within a given work, scene, or context.
  • C. appearsFor
    Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
  • D. appearsAs
    Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
  • E. appearsIn
    Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
  • F. None of above.

Provenance (4 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e694cc3c81908b0d54c2496a0722 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf7f02388190bee6fee6ab341cf5 completed March 28, 2026, 11:46 a.m.
PD Predicate disambiguation batch_69c6e1c932888190b125ca3785b18553 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:45 p.m.