Triple

T3113704
Position Surface form Disambiguated ID Type / Status
Subject SiR E65007 entity
Predicate notableWork P4 FINISHED
Object Her
"Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
 E327791 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: Her | Statement: [SiR, notableWork, Her]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Her
Context triple: [SiR, notableWork, Her]
  • A. Her
    "Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
  • B. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • C. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • D. HER
    HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • E. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • 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: Her
Triple: [SiR, notableWork, Her]
Generated description
"Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Her
Target entity description: "Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
  • A. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • B. Her
    "Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
  • C. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • D. HER
    HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • E. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43c79448190aa72f707319e8c5e completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2039b11d4819095ee77d84d6e7b8a completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20563abdc8190a51e1cfbcc6e0075 completed March 12, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69b205f1b3c08190a63fd9494dc8aee8 completed March 12, 2026, 12:16 a.m.
Created at: March 8, 2026, 3:04 p.m.