Triple

T14461334
Position Surface form Disambiguated ID Type / Status
Subject Boba Fett E358589 entity
Predicate deliversTo P31954 FINISHED
Object Jabba the Hutt E390373 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: Jabba the Hutt | Statement: [Boba Fett, deliversTo, Jabba the Hutt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jabba the Hutt
Context triple: [Boba Fett, deliversTo, Jabba the Hutt]
  • A. Jabba the Hutt chosen
    Jabba the Hutt is a powerful and ruthless Hutt crime lord from the Star Wars universe who controls a vast criminal empire from his palace on Tatooine.
  • B. Jaba
    Jaba is a Palestinian village located within the Jerusalem Governorate in the central West Bank.
  • C. Sebulba
    Sebulba is a ruthless Dug podracer from the Star Wars universe, best known as Anakin Skywalker's chief rival in the Boonta Eve Classic on Tatooine.
  • D. Watto
    Watto is a greedy Toydarian junk dealer and slave owner on Tatooine in the Star Wars universe, best known as the former master of Anakin Skywalker.
  • E. Narraboth
    Narraboth is the young Syrian captain of the guard in Richard Strauss's opera "Salome," tragically obsessed with the title character.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3bade48190a4608ca46f5f558a completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:19 a.m.