Triple

T15594278
Position Surface form Disambiguated ID Type / Status
Subject You’ve Been Around Too Long E374833 entity
Predicate writtenBy P806 FINISHED
Object Jack Dann E966669 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: Jack Dann | Statement: [You’ve Been Around Too Long, writtenBy, Jack Dann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Dann
Context triple: [You’ve Been Around Too Long, writtenBy, Jack Dann]
  • A. Jack Dann chosen
    Jack Dann is an American science fiction and fantasy author and editor known for his award-winning short stories, novels, and influential anthologies.
  • B. F. Paul Wilson
    F. Paul Wilson is an American author best known for his science fiction, horror, and thriller novels, including the "Repairman Jack" series.
  • C. Jack Williamson
    Jack Williamson was an influential American science fiction author whose long career and imaginative works helped define the genre’s Golden Age.
  • D. Henry Beam Piper
    Henry Beam Piper was an American science fiction author best known for his mid-20th-century works such as the Terro-Human Future History stories and the novel "Little Fuzzy."
  • E. Jack Vance
    Jack Vance was an American science fiction and fantasy author renowned for his richly imaginative worlds, ornate prose, and influential works such as the Dying Earth series.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f33310881908dd509c2ab2822ac completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:12 a.m.