Triple

T13425328
Position Surface form Disambiguated ID Type / Status
Subject Twilio E313463 entity
Predicate acquired P2511 FINISHED
Object Segment
Segment is a customer data platform that helps businesses collect, unify, and route user data across various tools and channels for analytics and personalization.
E1038756 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: Segment | Statement: [Twilio, acquired, Segment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segment
Context triple: [Twilio, acquired, Segment]
  • A. Sequence
    Sequence is a fundamental Swift protocol that represents a series of values that can be iterated over one at a time.
  • B. Chunk
    Chunk is a lovable, clumsy, and comedic member of the kids’ adventure group in the 1985 film "The Goonies," best known for his exaggerated stories and the "Truffle Shuffle."
  • C. Partition
    Partition is a 2007 historical drama film set during the 1947 partition of India, focusing on the tragic human consequences of the subcontinent’s division.
  • D. Partition
    "Partition" is a 2013 Beyoncé song from her self-titled visual album, known for its sensual lyrics, bass-heavy production, and provocative music video.
  • E. Slice
    Slice is a 2018 horror-comedy film that blends slasher and supernatural elements in a quirky, stylized story involving pizza delivery and a series of mysterious murders.
  • 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: Segment
Triple: [Twilio, acquired, Segment]
Generated description
Segment is a customer data platform that helps businesses collect, unify, and route user data across various tools and channels for analytics and personalization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Segment
Target entity description: Segment is a customer data platform that helps businesses collect, unify, and route user data across various tools and channels for analytics and personalization.
  • A. Sequence
    Sequence is a fundamental Swift protocol that represents a series of values that can be iterated over one at a time.
  • B. Chunk
    Chunk is a lovable, clumsy, and comedic member of the kids’ adventure group in the 1985 film "The Goonies," best known for his exaggerated stories and the "Truffle Shuffle."
  • C. Partition
    Partition is a 2007 historical drama film set during the 1947 partition of India, focusing on the tragic human consequences of the subcontinent’s division.
  • D. Partition
    "Partition" is a 2013 Beyoncé song from her self-titled visual album, known for its sensual lyrics, bass-heavy production, and provocative music video.
  • E. Slice
    Slice is a 2018 horror-comedy film that blends slasher and supernatural elements in a quirky, stylized story involving pizza delivery and a series of mysterious murders.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed066408190a416880affd8416e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308673488190a64f4b205899605b completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7316101e48190b3ec59a4376a0562 completed May 3, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_69f731f8e98c8190becfad8e3a371484 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 9:40 p.m.