Triple

T29273808
Position Surface form Disambiguated ID Type / Status
Subject Carry On Sergeant E742193 entity
Predicate characterPlayedBy Kenneth Connor P193601 FINISHED
Object Horace Strong
Horace Strong is a timid, hypochondriac army recruit who provides much of the comic relief in the British comedy film "Carry On Sergeant."
E1872822 NE FINISHED

How this triple was built (3 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: Horace Strong | Statement: [Carry On Sergeant, characterPlayedBy Kenneth Connor, Horace Strong]
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: Horace Strong
Triple: [Carry On Sergeant, characterPlayedBy Kenneth Connor, Horace Strong]
Generated description
Horace Strong is a timid, hypochondriac army recruit who provides much of the comic relief in the British comedy film "Carry On Sergeant."
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterPlayedBy Kenneth Connor
Context triple: [Carry On Sergeant, characterPlayedBy Kenneth Connor, Horace Strong]
  • A. characterPlayedByRichardHarris
    Indicates that the subject is a character that was portrayed by the actor Richard Harris.
  • B. characterPlayedByRobertPatrick
    Indicates that a given character is portrayed or acted by Robert Patrick.
  • C. characterPlayedBy Bob Monkhouse
    Indicates that a character is portrayed or acted by Bob Monkhouse.
  • D. characterPlayedByIainGlen
    Indicates that the subject is a character portrayed or voiced by the actor Iain Glen.
  • E. characterPlayedByEdwardMulhare
    Indicates that the subject is a character that was portrayed or played by Edward Mulhare.
  • F. None of above. chosen

Provenance (7 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_69f0912124d48190a046642b69407f4c completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a260c011a90819082039f0f5a7227d5 completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a26103b50948190a67b288cf9f474ce completed June 8, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a261bab40048190b31f5b12454bedbf completed June 8, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
PDg Predicate description generation batch_69fd4d16dd20819096957c40f43cd971 completed May 8, 2026, 2:40 a.m.
Created at: April 28, 2026, 12:49 p.m.