Triple

T12139590
Position Surface form Disambiguated ID Type / Status
Subject Anne Heche E289147 entity
Predicate notableWork P4 FINISHED
Object Save Me
"Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
 E968261 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: Save Me | Statement: [Anne Heche, notableWork, Save Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Save Me
Context triple: [Anne Heche, notableWork, Save Me]
  • A. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • B. Save Me
    Save Me is a British drama television series created by and starring Lennie James, centered on a father's desperate search for his missing daughter.
  • C. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • D. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • E. Save Me
    "Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
  • 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: Save Me
Triple: [Anne Heche, notableWork, Save Me]
Generated description
"Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Save Me
Target entity description: "Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
  • A. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • B. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • C. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • D. Save Me
    "Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
  • E. Save Me
    Save Me is a British drama television series created by and starring Lennie James, centered on a father's desperate search for his missing daughter.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:49 p.m.