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.