Triple
T13425294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twilio |
E313463
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jeff Lawson
Jeff Lawson is an American entrepreneur and software developer best known as the co-founder and former CEO of cloud communications platform Twilio.
|
E1038751
|
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: Jeff Lawson | Statement: [Twilio, foundedBy, Jeff Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Lawson Context triple: [Twilio, foundedBy, Jeff Lawson]
-
A.
Sam Lawson
Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
-
B.
Ben Lawson
Ben Lawson is an Australian actor known for his roles in film and television, including the romantic comedy "No Strings Attached."
-
C.
Dave Lawson
Dave Lawson is an Australian comedian and actor known for his work in television, radio, and advertising, and for being married to actress Sarah Snook.
-
D.
Ken Lawson
Ken Lawson is an American actor and rapper best known for his role as Thaddeus "T" Radcliffe on the UPN sitcom "The Parkers."
-
E.
Chris Lawler
Chris Lawler is a former English footballer best known as a long-serving right-back for Liverpool FC during the 1960s and early 1970s.
- 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: Jeff Lawson Triple: [Twilio, foundedBy, Jeff Lawson]
Generated description
Jeff Lawson is an American entrepreneur and software developer best known as the co-founder and former CEO of cloud communications platform Twilio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Lawson Target entity description: Jeff Lawson is an American entrepreneur and software developer best known as the co-founder and former CEO of cloud communications platform Twilio.
-
A.
Sam Lawson
Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
-
B.
Ben Lawson
Ben Lawson is an Australian actor known for his roles in film and television, including the romantic comedy "No Strings Attached."
-
C.
Dave Lawson
Dave Lawson is an Australian comedian and actor known for his work in television, radio, and advertising, and for being married to actress Sarah Snook.
-
D.
Ken Lawson
Ken Lawson is an American actor and rapper best known for his role as Thaddeus "T" Radcliffe on the UPN sitcom "The Parkers."
-
E.
Chris Lawler
Chris Lawler is a former English footballer best known as a long-serving right-back for Liverpool FC during the 1960s and early 1970s.
- 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.