Triple

T16718774
Position Surface form Disambiguated ID Type / Status
Subject Danites E406290 entity
Predicate traditionalDescentFrom P64361 FINISHED
Object Dan E72350 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: Dan | Statement: [Danites, traditionalDescentFrom, Dan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan
Context triple: [Danites, traditionalDescentFrom, Dan]
  • A. Dan
    Dan was the personal name of Emperor Xizong, a 12th-century ruler of the Jurchen-led Jin dynasty in northern China.
  • B. Dan chosen
    Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
  • C. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • D. Dan
    Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
  • E. Dan
    Dan is a character in the play "Clybourne Park," representing a contemporary figure who uncovers the neighborhood’s buried history and helps connect past events to present-day tensions.
  • 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: traditionalDescentFrom
Context triple: [Danites, traditionalDescentFrom, Dan]
  • A. descentFrom
    Indicates that one entity is a descendant of another, typically through a lineage or ancestral relationship.
  • B. ofDescent
    Indicates a genealogical or ancestral relationship, specifying that one entity descends from or originates from another.
  • C. descentSystem
    Indicates the kinship or inheritance pattern through which lineage, membership, or rights are traced (e.g., matrilineal, patrilineal, or bilateral).
  • D. claimedDescentFrom
    Indicates that one entity asserts or maintains that it is descended from, or originates genealogically from, another entity.
  • E. traditionalAncestor chosen
    Indicates that one entity is regarded as an ancestor of another according to traditional, customary, or culturally transmitted lineage beliefs rather than strictly documented genealogical records.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865855108190bf8767b7b6c5fa10 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3da12881909296926edde5b723 completed May 10, 2026, 2:59 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:20 a.m.