Triple

T5417497
Position Surface form Disambiguated ID Type / Status
Subject Carry On Cleo E121166 entity
Predicate character P662 FINISHED
Object Hengist Pod
Hengist Pod is a timid British slave-turned-reluctant hero and inventor in the 1964 comedy film "Carry On Cleo."
 E518314 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: Hengist Pod | Statement: [Carry On Cleo, character, Hengist Pod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hengist Pod
Context triple: [Carry On Cleo, character, Hengist Pod]
  • A. Burgard
    Burgard is a German surname borne by individuals such as the computer scientist Wolfram Burgard.
  • B. Helm
    Helm is a popular package manager for Kubernetes that simplifies defining, installing, and upgrading complex containerized applications using reusable charts.
  • C. Helm
    Helm is a surname of Germanic origin borne by various notable individuals, including members of prominent American families.
  • D. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • E. Helikon
    Helikon is a mountain in Greek mythology, often associated with the Muses and poetic inspiration.
  • 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: Hengist Pod
Triple: [Carry On Cleo, character, Hengist Pod]
Generated description
Hengist Pod is a timid British slave-turned-reluctant hero and inventor in the 1964 comedy film "Carry On Cleo."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hengist Pod
Target entity description: Hengist Pod is a timid British slave-turned-reluctant hero and inventor in the 1964 comedy film "Carry On Cleo."
  • A. Burgard
    Burgard is a German surname borne by individuals such as the computer scientist Wolfram Burgard.
  • B. Helm
    Helm is a popular package manager for Kubernetes that simplifies defining, installing, and upgrading complex containerized applications using reusable charts.
  • C. Helm
    Helm is a surname of Germanic origin borne by various notable individuals, including members of prominent American families.
  • D. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • E. Helikon
    Helikon is a mountain in Greek mythology, often associated with the Muses and poetic inspiration.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e620f081909eb9a5e1f284e5a2 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aadfa4c81908b57af80f534b121 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b7f947c8190bc15d839488f393b completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3bfde6148190a2e7aa76bd5dce37 completed March 22, 2026, 12:46 a.m.
Created at: March 20, 2026, 2:05 p.m.