Triple

T11522080
Position Surface form Disambiguated ID Type / Status
Subject Jane Williams E273188 entity
Predicate notableWork P4 FINISHED
Object Angels E434429 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: Angels | Statement: [Jane Williams, notableWork, Angels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angels
Context triple: [Jane Williams, notableWork, Angels]
  • A. Angels
    Angels is a historic gold rush town in Calaveras County, California, best known for its mining heritage and association with Mark Twain’s story “The Celebrated Jumping Frog of Calaveras County.”
  • B. Angels
    Angels are spiritual beings in Islamic belief who faithfully carry out God’s commands, including descending during the Night of Decree mentioned in Surah Al-Qadr.
  • C. Angels chosen
    "Angels" is a hugely popular pop ballad by British singer Robbie Williams, widely regarded as his signature song and a modern classic.
  • D. Angels
    "Angels" is a song featured on Diddy – Dirty Money's R&B/hip-hop concept album "Last Train to Paris."
  • E. Arcángel
    Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd129c88190893b95222480e04a completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62551a36081908ef6418fe8e2155c completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:37 p.m.