Triple

T9795079
Position Surface form Disambiguated ID Type / Status
Subject The Howling Man E237697 entity
Predicate writer P1360 FINISHED
Object Charles Beaumont E822286 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: Charles Beaumont | Statement: [The Howling Man, writer, Charles Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Beaumont
Context triple: [The Howling Man, writer, Charles Beaumont]
  • A. Charles Beaumont chosen
    Charles Beaumont was an American writer best known for his influential and often macabre scripts for the television series The Twilight Zone.
  • B. Charlie Wagner
    Charlie Wagner was an American vintner best known as the founder and longtime winemaker of Caymus Vineyards in Napa Valley, where he helped elevate the region’s reputation for premium Cabernet Sauvignon.
  • C. Edmond Hamilton
    Edmond Hamilton was an influential American science fiction author, particularly known for his space opera tales and prolific pulp magazine contributions in the early to mid-20th century.
  • D. Raymond Boyd
    Raymond Boyd is a linguist known for his research on the Adamawa–Ubangi branch of the Niger-Congo language family.
  • E. Curt Siodmak
    Curt Siodmak was a German-American novelist and screenwriter best known for his influential work in horror and science fiction films, including classic Universal monster movies.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1eac78b1881908e77c3678f98fac9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:28 p.m.