Triple

T1963553
Position Surface form Disambiguated ID Type / Status
Subject London Academy of Music and Dramatic Art E42639 entity
Predicate shortName P43 FINISHED
Object LAMDA
LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
 E218631 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: LAMDA | Statement: [London Academy of Music and Dramatic Art, shortName, LAMDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LAMDA
Context triple: [London Academy of Music and Dramatic Art, shortName, LAMDA]
  • A. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • B. Lamlash
    Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
  • C. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • D. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • E. Sarif
    Sarif is a locality near Mecca in present-day Saudi Arabia, historically noted as the site of Maymunah bint al-Harith’s marriage to the Prophet Muhammad.
  • 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: LAMDA
Triple: [London Academy of Music and Dramatic Art, shortName, LAMDA]
Generated description
LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LAMDA
Target entity description: LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
  • A. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • B. Lamlash
    Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
  • C. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • D. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • E. Sarif
    Sarif is a locality near Mecca in present-day Saudi Arabia, historically noted as the site of Maymunah bint al-Harith’s marriage to the Prophet Muhammad.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ac31a08190abaecac8badc52c7 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd32eb88190a2069b6490b12e5d completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc5150e48190aa475798c790b767 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd10a6a88190818976d709d81596 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.