Triple

T16304687
Position Surface form Disambiguated ID Type / Status
Subject Broadway Girls E395876 entity
Predicate producer P490 FINISHED
Object Morgan O’Connor
Morgan O’Connor is a music producer best known for working on the hit track "Broadway Girls."
 E1206807 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: Morgan O’Connor | Statement: [Broadway Girls, producer, Morgan O’Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan O’Connor
Context triple: [Broadway Girls, producer, Morgan O’Connor]
  • A. Morgan O'Neill
    Morgan O'Neill is an Australian filmmaker, writer, and producer known for his work in film and television, including serving as an executive producer on NCIS: Sydney.
  • B. Morgan O’Sullivan
    Morgan O’Sullivan is an Irish film and television producer known for his work on major historical drama series and international co-productions.
  • C. Morgan O'Mally
    Morgan O'Mally is a close friend of Will Hunting in the film "Good Will Hunting," known as one of the loyal South Boston buddies in his social circle.
  • D. Morgan Walsh
    Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
  • E. Morgan McCourt
    Morgan McCourt is one of the children of Pulitzer Prize–winning Irish-American author Frank McCourt.
  • 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: Morgan O’Connor
Triple: [Broadway Girls, producer, Morgan O’Connor]
Generated description
Morgan O’Connor is a music producer best known for working on the hit track "Broadway Girls."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgan O’Connor
Target entity description: Morgan O’Connor is a music producer best known for working on the hit track "Broadway Girls."
  • A. Morgan O'Neill
    Morgan O'Neill is an Australian filmmaker, writer, and producer known for his work in film and television, including serving as an executive producer on NCIS: Sydney.
  • B. Morgan O’Sullivan
    Morgan O’Sullivan is an Irish film and television producer known for his work on major historical drama series and international co-productions.
  • C. Morgan O'Mally
    Morgan O'Mally is a close friend of Will Hunting in the film "Good Will Hunting," known as one of the loyal South Boston buddies in his social circle.
  • D. Morgan Walsh
    Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
  • E. Morgan McCourt
    Morgan McCourt is one of the children of Pulitzer Prize–winning Irish-American author Frank McCourt.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d42f1c81908a6869244d727e99 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260151908190b83f700a1c7c6419 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0026b6554481909ee5a4de41293d90 completed May 10, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_6a002750c490819082db2044b6a89eaa completed May 10, 2026, 6:36 a.m.
Created at: April 10, 2026, 5:06 a.m.