Triple

T15815290
Position Surface form Disambiguated ID Type / Status
Subject Benedict Birgersson E383458 entity
Predicate givenName P17 FINISHED
Object Benedict E42638 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: Benedict | Statement: [Benedict Birgersson, givenName, Benedict]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benedict
Context triple: [Benedict Birgersson, givenName, Benedict]
  • A. Benedict chosen
    Benedict is a masculine given name of Latin origin, most famously borne in modern times by the British actor Benedict Cumberbatch.
  • B. Benedict Bogeaus
    Benedict Bogeaus was a mid-20th-century independent film producer known for backing a variety of Hollywood features outside the major studio system.
  • C. Benedetto
    Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
  • D. Ambrose
    Ambrose is a masculine given name of Latin origin, historically associated with early Christian saints and notable figures such as the American Civil War general Ambrose E. Burnside.
  • E. Ambrose
    Ambrose is the middle name of John Ambrose Fleming, the British electrical engineer and physicist known for inventing the vacuum tube diode.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a219508190b8588120ec415ac7 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.