Triple

T17350574
Position Surface form Disambiguated ID Type / Status
Subject Take Me to Heart E421799 entity
Predicate follows P134 FINISHED
Object Night Shift — NE ONDG

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: Night Shift | Statement: [Take Me to Heart, follows, Night Shift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Night Shift
Context triple: [Take Me to Heart, follows, Night Shift]
  • A. Night Shift
    "Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
  • B. Night Shift
    Night Shift is a 1982 comedy film directed by Ron Howard that helped establish Michael Keaton as a major comedic actor.
  • C. Night Shift
    "Night Shift" is a critically acclaimed indie rock song by American singer-songwriter Lucy Dacus, known for its emotionally raw lyrics and slow-building, cathartic arrangement.
  • D. Night Shift
    "Night Shift" is a track from Nigerian singer-songwriter Juju's music catalog, known for its blend of contemporary Afrobeats and melodic storytelling.
  • E. The Night Shift
    The Night Shift is an American medical drama television series that follows the lives of Army veteran doctors working the overnight shift in a San Antonio emergency room.
  • 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: Night Shift
Triple: [Take Me to Heart, follows, Night Shift]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Night Shift
Target entity description: "Night Shift" is a 1982 American comedy film directed by Ron Howard about a timid morgue attendant whose life is upended when his entrepreneurial coworker turns their workplace into an unconventional business venture.
  • A. Night Shift
    "Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
  • B. Night Shift chosen
    Night Shift is a 1982 comedy film directed by Ron Howard that helped establish Michael Keaton as a major comedic actor.
  • C. Night Shift
    "Night Shift" is a critically acclaimed indie rock song by American singer-songwriter Lucy Dacus, known for its emotionally raw lyrics and slow-building, cathartic arrangement.
  • D. Night Shift
    "Night Shift" is a track from Nigerian singer-songwriter Juju's music catalog, known for its blend of contemporary Afrobeats and melodic storytelling.
  • E. The Night Shift
    The Night Shift is an American medical drama television series that follows the lives of Army veteran doctors working the overnight shift in a San Antonio emergency room.
  • F. None of above.

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a0195c365348190bc5ae9d39094e6f3 in_progress May 11, 2026, 8:39 a.m.
Created at: April 10, 2026, 5:44 a.m.