Triple

T14958850
Position Surface form Disambiguated ID Type / Status
Subject Laurence Luckinbill E373005 entity
Predicate portrayed P1668 FINISHED
Object Sybok E497952 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: Sybok | Statement: [Laurence Luckinbill, portrayed, Sybok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sybok
Context triple: [Laurence Luckinbill, portrayed, Sybok]
  • A. Sybok chosen
    Sybok is a Vulcan character in the Star Trek universe known for rejecting traditional Vulcan logic in favor of embracing and exploring emotions.
  • B. Nikto
    Nikto is an open-source web server vulnerability scanner that tests for dangerous files, outdated server software, and other common security issues.
  • C. Shagbat
    Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
  • D. Nokk
    Nokk is a mythical water spirit from Scandinavian folklore, often depicted as a shape-shifting creature that lures people into lakes and rivers.
  • E. Jobu
    Jobu is the fictional voodoo deity that baseball player Pedro Cerrano prays to for help with his hitting in the film "Major League."
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7ea1d78c81909b877fda05ef9231 completed May 9, 2026, 12:24 a.m.
Created at: April 10, 2026, 2:40 a.m.