Triple

T5534430
Position Surface form Disambiguated ID Type / Status
Subject Carole Bayer Sager E145126 entity
Predicate familyName P18 FINISHED
Object Bayer Sager
Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
 E529168 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: Bayer Sager | Statement: [Carole Bayer Sager, familyName, Bayer Sager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bayer Sager
Context triple: [Carole Bayer Sager, familyName, Bayer Sager]
  • A. Buna-Werke
    Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
  • B. Bayer
    Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
  • C. Semperit
    Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
  • D. E.S. Mittler & Sohn
    E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
  • E. Preussag AG
    Preussag AG was a former German industrial and mining conglomerate that transformed in the 1990s into a tourism-focused company, eventually becoming today’s TUI Group.
  • 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: Bayer Sager
Triple: [Carole Bayer Sager, familyName, Bayer Sager]
Generated description
Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bayer Sager
Target entity description: Bayer Sager is the surname of Carole Bayer Sager, an American songwriter known for numerous pop hits and award-winning collaborations.
  • A. Buna-Werke
    Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
  • B. Bayer
    Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
  • C. Semperit
    Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
  • D. E.S. Mittler & Sohn
    E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
  • E. Preussag AG
    Preussag AG was a former German industrial and mining conglomerate that transformed in the 1990s into a tourism-focused company, eventually becoming today’s TUI Group.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fa0141c81909a216be9f48d64e1 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02810084c81909fde56d6ee4ad328 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c033ddc7148190ba64ebfc2472c367 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c036725fc481908ab0e260892d8243 completed March 22, 2026, 6:35 p.m.
Created at: March 22, 2026, 3:34 p.m.