Triple

T31049381
Position Surface form Disambiguated ID Type / Status
Subject I Couldn't Live Without Your Love E791214 entity
Predicate associatedAct P37 FINISHED
Object Tony Hatch and Jackie Trent
Tony Hatch and Jackie Trent were a British songwriting and married duo best known for crafting numerous 1960s pop hits and television themes.
E1943698 NE FINISHED

How this triple was built (2 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: Tony Hatch and Jackie Trent | Statement: [I Couldn't Live Without Your Love, associatedAct, Tony Hatch and Jackie Trent]
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: Tony Hatch and Jackie Trent
Triple: [I Couldn't Live Without Your Love, associatedAct, Tony Hatch and Jackie Trent]
Generated description
Tony Hatch and Jackie Trent were a British songwriting and married duo best known for crafting numerous 1960s pop hits and television themes.

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_69f224cb08908190ba71ad9aa87518ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6953eb0d4819098ac02bd7a53f3b8 completed May 3, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29185a59ac8190a781483bdd621525 completed June 10, 2026, 7:55 a.m.
NEDg Description generation batch_6a29190c5f6c8190881d5c2b5ebbd64c completed June 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_6a2919a9720081909234f46ab8bed21a completed June 10, 2026, 8 a.m.
Created at: April 29, 2026, 9 p.m.