Triple

T35286884
Position Surface form Disambiguated ID Type / Status
Subject Fritz Robinson E1019108 entity
Predicate ageRelativeToSiblings P125146 FINISHED
Object eldest son LITERAL 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: eldest son | Statement: [Fritz Robinson, ageRelativeToSiblings, eldest son]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ageRelativeToSiblings
Context triple: [Fritz Robinson, ageRelativeToSiblings, eldest son]
  • A. relativeAgeStatus chosen
    Indicates a comparative relationship specifying how the age of one entity relates to the age of another (e.g., older, younger, or same age).
  • B. relativeAgeInference
    Indicates an inferred ordering of ages between entities, specifying which one is relatively older or younger based on available information.
  • C. relativeByBirth
    Indicates that two entities are related to each other through a biological family connection established by birth.
  • D. hasRelativeAge
    Indicates that one entity has an age that is defined or compared in relation to the age of another entity.
  • E. ageRelation
    Indicates a relationship that specifies or compares the ages of entities, such as one being older, younger, or of the same age as another.
  • F. None of above.

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_69f76de6d39c8190bb11342e4b91ff2b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78fe35fd88190b2154c89e1b7ffd8 completed May 3, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69f78e2f52e08190a77661223a96c601 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:03 p.m.