Triple

T11404033
Position Surface form Disambiguated ID Type / Status
Subject Penelope Sycamore E270188 entity
Predicate hasSpouse P13 FINISHED
Object Paul Sycamore E270189 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: Paul Sycamore | Statement: [Penelope Sycamore, hasSpouse, Paul Sycamore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Sycamore
Context triple: [Penelope Sycamore, hasSpouse, Paul Sycamore]
  • A. Paul Sycamore chosen
    Paul Sycamore is a quirky, inventive patriarch in the play "You Can't Take It with You," known for his eccentric experiments and warm, unconventional family life.
  • B. Sylvester Smith
    Sylvester Smith is a person known primarily as the sibling of Sophia Smith.
  • C. Marcus Scribner
    Marcus Scribner is an American actor best known for playing Andre Johnson Jr. on the ABC sitcom "Black-ish."
  • D. Gideon Shryock
    Gideon Shryock was a prominent 19th-century American architect known for introducing the Greek Revival style to public buildings in Kentucky.
  • E. Samuel Drake
    Samuel Drake is Nathan Drake’s older brother and a charming, risk-taking treasure hunter who plays a pivotal role in the Uncharted video game series’ later storyline.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014ab46881909fa1d425926c617b completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d56608481908dbb19daa2abfc0a completed April 20, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:34 p.m.