Triple

T11458171
Position Surface form Disambiguated ID Type / Status
Subject Gertrude Lawrence E271584 entity
Predicate notableWork P4 FINISHED
Object Oh, Dear!
"Oh, Dear!" is a theatrical work best known for its association with celebrated British actress and musical star Gertrude Lawrence.
 E926750 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: Oh, Dear! | Statement: [Gertrude Lawrence, notableWork, Oh, Dear!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oh, Dear!
Context triple: [Gertrude Lawrence, notableWork, Oh, Dear!]
  • A. Oh! Darling
    "Oh! Darling" is a soulful, blues-influenced love song by the Beatles, written by Paul McCartney and featured on their 1969 album Abbey Road.
  • B. So Dear to My Heart
    So Dear to My Heart is a 1948 Disney live-action/animated musical film that nostalgically portrays a boy’s bond with a black lamb in rural Indiana.
  • C. So Sad the Song
    "So Sad the Song" is a soulful ballad best known from Gladys Knight & the Pips’ 1976 recording, showcasing Gerry Goffin’s emotive songwriting.
  • D. Oh, Sorry
    "Oh, Sorry" is a film featuring actor Brandon Perea, likely a lesser-known or independent production in his filmography.
  • E. Poor Me
    "Poor Me" is a hit 1959 pop single by British singer Adam Faith that helped establish his early chart success.
  • 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: Oh, Dear!
Triple: [Gertrude Lawrence, notableWork, Oh, Dear!]
Generated description
"Oh, Dear!" is a theatrical work best known for its association with celebrated British actress and musical star Gertrude Lawrence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oh, Dear!
Target entity description: "Oh, Dear!" is a theatrical work best known for its association with celebrated British actress and musical star Gertrude Lawrence.
  • A. Oh! Darling
    "Oh! Darling" is a soulful, blues-influenced love song by the Beatles, written by Paul McCartney and featured on their 1969 album Abbey Road.
  • B. So Dear to My Heart
    So Dear to My Heart is a 1948 Disney live-action/animated musical film that nostalgically portrays a boy’s bond with a black lamb in rural Indiana.
  • C. So Sad the Song
    "So Sad the Song" is a soulful ballad best known from Gladys Knight & the Pips’ 1976 recording, showcasing Gerry Goffin’s emotive songwriting.
  • D. Oh, Sorry
    "Oh, Sorry" is a film featuring actor Brandon Perea, likely a lesser-known or independent production in his filmography.
  • E. Poor Me
    "Poor Me" is a hit 1959 pop single by British singer Adam Faith that helped establish his early chart success.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f2138081909408c7916cef99c9 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e911c03c819081f1447b320dd2f2 completed April 20, 2026, 8:51 a.m.
NEDg Description generation batch_69e5eeb38d588190b51b6c299bb717dd completed April 20, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69e5f19dd3348190b037e09c87b528e9 completed April 20, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:35 p.m.