Triple

T36377583
Position Surface form Disambiguated ID Type / Status
Subject Brandon Stark E895945 entity
Predicate associatedHouseByBetrothal P7963 FINISHED
Object House Tully E345450 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: House Tully | Statement: [Brandon Stark, associatedHouseByBetrothal, House Tully]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedHouseByBetrothal
Context triple: [Brandon Stark, associatedHouseByBetrothal, House Tully]
  • A. houseByMarriage chosen
    Indicates a familial or household relationship established through marriage rather than by blood or direct residence.
  • B. associatedHouse
    Indicates a relationship where one entity is linked or connected to a particular house, typically as its related or corresponding house.
  • C. marriageLinkedBranch
    Indicates a connection between two branches or lineages that is established or traced through a marriage relationship.
  • D. connectedThroughMarriageVia
    Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
  • E. linkedMarriage
    Indicates that two individuals are connected through a marital relationship, either directly or via a chain of marriages.
  • 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_69f76e51d358819092bbc5f119f49476 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39a33ed66c8190b8655bf9a38cb082 completed June 22, 2026, 9:03 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:10 p.m.