Triple

T16653654
Position Surface form Disambiguated ID Type / Status
Subject Marshall Harvey E404669 entity
Predicate edited P1932 FINISHED
Object Burying the Ex
Burying the Ex is a 2014 horror-comedy film about a young man whose overbearing ex-girlfriend returns from the dead to disrupt his new relationship.
 E1225827 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: Burying the Ex | Statement: [Marshall Harvey, edited, Burying the Ex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burying the Ex
Context triple: [Marshall Harvey, edited, Burying the Ex]
  • A. Bury Me
    "Bury Me" is a country song by Dwight Yoakam, featured on his debut album "Guitars, Cadillacs, Etc., Etc."
  • B. Bury Me Next to You
    "Bury Me Next to You" is a song featured on the album *In Another Life*.
  • C. Out from Under
    "Out from Under" is a song by the American pop group Circus, featured as one of the tracks on their music releases.
  • D. Bury a Friend
    "Bury a Friend" is a dark, minimalist electropop song by Billie Eilish that helped define her eerie aesthetic and propelled her rise to global fame.
  • E. The Wrong Side of Goodbye
    The Wrong Side of Goodbye is a crime novel by Michael Connelly featuring detective Harry Bosch working a cold missing-person case while serving as a part-time private investigator.
  • 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: Burying the Ex
Triple: [Marshall Harvey, edited, Burying the Ex]
Generated description
Burying the Ex is a 2014 horror-comedy film about a young man whose overbearing ex-girlfriend returns from the dead to disrupt his new relationship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burying the Ex
Target entity description: Burying the Ex is a 2014 horror-comedy film about a young man whose overbearing ex-girlfriend returns from the dead to disrupt his new relationship.
  • A. Bury Me
    "Bury Me" is a country song by Dwight Yoakam, featured on his debut album "Guitars, Cadillacs, Etc., Etc."
  • B. Bury Me Next to You
    "Bury Me Next to You" is a song featured on the album *In Another Life*.
  • C. Out from Under
    "Out from Under" is a song by the American pop group Circus, featured as one of the tracks on their music releases.
  • D. Bury a Friend
    "Bury a Friend" is a dark, minimalist electropop song by Billie Eilish that helped define her eerie aesthetic and propelled her rise to global fame.
  • E. The Wrong Side of Goodbye
    The Wrong Side of Goodbye is a crime novel by Michael Connelly featuring detective Harry Bosch working a cold missing-person case while serving as a part-time private investigator.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf861348190b2b0b5574d4ddb4f completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c6bf8c81909b376875ae038e3f completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008558218c8190b0e72356ae52afd2 completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a008624706881909e9a265a37eeb3fc completed May 10, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:18 a.m.