Triple

T6463191
Position Surface form Disambiguated ID Type / Status
Subject Flesh of My Flesh, Blood of My Blood E142170 entity
Predicate producer P490 FINISHED
Object PK E587641 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: PK | Statement: [Flesh of My Flesh, Blood of My Blood, producer, PK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PK
Context triple: [Flesh of My Flesh, Blood of My Blood, producer, PK]
  • A. PK
    PK is a compact bitmap font file format traditionally used by TeX systems to store rasterized glyphs generated from METAFONT sources.
  • B. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • C. PK chosen
    PK is a music producer best known for his work on DMX's influential debut album "It's Dark and Hell Is Hot."
  • D. KP
    KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • E. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be4e6888190a685f447e9950163 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:49 p.m.