Triple

T17889200
Position Surface form Disambiguated ID Type / Status
Subject Who We Used to Be E447269 entity
Predicate hasPart P35 FINISHED
Object A Thousand Lives
A Thousand Lives is a song featured on the album "Who We Used to Be."
E1293903 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: A Thousand Lives | Statement: [Who We Used to Be, hasPart, A Thousand Lives]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Thousand Lives
Context triple: [Who We Used to Be, hasPart, A Thousand Lives]
  • A. My Life in Ruins
    My Life in Ruins is a 2009 romantic comedy film set in Greece that follows a disillusioned tour guide who rediscovers love and passion for life through her eccentric tour group.
  • B. Dear Life
    Dear Life is a pop ballad by Australian singer-songwriter Delta Goodrem that reflects on personal growth and self-reflection.
  • C. I Died a Thousand Times
    I Died a Thousand Times is a 1955 American film noir crime drama, a color remake of High Sierra, starring Jack Palance and Shelley Winters.
  • D. The Life Before This
    The Life Before This is a Canadian drama film known for its interwoven narratives exploring fate and consequence in the aftermath of a tragic shooting.
  • E. After Life
    After Life is a dark comedy-drama television series created by and starring Ricky Gervais, following a grieving widower who copes with his loss through blunt, often cruel honesty.
  • 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: A Thousand Lives
Triple: [Who We Used to Be, hasPart, A Thousand Lives]
Generated description
A Thousand Lives is a song featured on the album "Who We Used to Be."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A Thousand Lives
Target entity description: A Thousand Lives is a song featured on the album "Who We Used to Be."
  • A. My Life in Ruins
    My Life in Ruins is a 2009 romantic comedy film set in Greece that follows a disillusioned tour guide who rediscovers love and passion for life through her eccentric tour group.
  • B. Dear Life
    Dear Life is a pop ballad by Australian singer-songwriter Delta Goodrem that reflects on personal growth and self-reflection.
  • C. I Died a Thousand Times
    I Died a Thousand Times is a 1955 American film noir crime drama, a color remake of High Sierra, starring Jack Palance and Shelley Winters.
  • D. The Life Before This
    The Life Before This is a Canadian drama film known for its interwoven narratives exploring fate and consequence in the aftermath of a tragic shooting.
  • E. After Life
    After Life is a dark comedy-drama television series created by and starring Ricky Gervais, following a grieving widower who copes with his loss through blunt, often cruel honesty.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c15f8b08190ac8d134e32d62d18 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313deda808190853bfcfb16c7909e completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a03153fdc848190af79246027864a48 completed May 12, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_6a03164881ec8190a783b095f3cf47b3 completed May 12, 2026, noon
Created at: April 10, 2026, 10:18 a.m.