Triple

T18886063
Position Surface form Disambiguated ID Type / Status
Subject Ernest Thesiger E461957 entity
Predicate authorOf P4244 FINISHED
Object Practically True
Practically True is a book by British actor and raconteur Ernest Thesiger, likely reflecting his wit, theatrical experiences, and personal anecdotes.
E1348965 NE FINISHED

How this triple was built (4 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: Practically True | Statement: [Ernest Thesiger, authorOf, Practically True]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Practically True
Context triple: [Ernest Thesiger, authorOf, Practically True]
  • A. True
    "True" is a song featured on the album "Human" by the British singer and songwriter Rag'n'Bone Man.
  • B. True
    "True" is a 1983 soft rock ballad by British band Spandau Ballet, widely recognized as their signature hit and a classic of the New Romantic era.
  • C. True
    True is a feminine given name that gained public attention through its use by celebrities for their children.
  • D. Truthfully
    "Truthfully" is a song featured on Justin Bieber's debut studio album "My World 2.0."
  • E. The Reality
    The Reality is an English rendering of Surah Al-Haqqah, a chapter of the Qur’an that vividly describes the Day of Judgment and the ultimate truth of God’s decree.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Practically True
Triple: [Ernest Thesiger, authorOf, Practically True]
Generated description
Practically True is a book by British actor and raconteur Ernest Thesiger, likely reflecting his wit, theatrical experiences, and personal anecdotes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Practically True
Target entity description: Practically True is a book by British actor and raconteur Ernest Thesiger, likely reflecting his wit, theatrical experiences, and personal anecdotes.
  • A. True
    "True" is a song featured on the album "Human" by the British singer and songwriter Rag'n'Bone Man.
  • B. True
    "True" is a 1983 soft rock ballad by British band Spandau Ballet, widely recognized as their signature hit and a classic of the New Romantic era.
  • C. True
    True is a feminine given name that gained public attention through its use by celebrities for their children.
  • D. Truthfully
    "Truthfully" is a song featured on Justin Bieber's debut studio album "My World 2.0."
  • E. The Reality
    The Reality is an English rendering of Surah Al-Haqqah, a chapter of the Qur’an that vividly describes the Day of Judgment and the ultimate truth of God’s decree.
  • F. None of above. chosen

Provenance (5 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4760d808190b502c4ed1f24424c completed April 20, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582b37de881908475c69461c15c8f completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a05887693d081908fa60534c3c36144 completed May 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a05891f4a248190a5527a939fcb16da completed May 14, 2026, 8:34 a.m.
Created at: April 10, 2026, 11:57 a.m.