Triple
T4443617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudflare |
E96228
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Lee Holloway
Lee Holloway is a software engineer best known as one of the co-founders and early technical architects of the internet security and performance company Cloudflare.
|
E444646
|
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: Lee Holloway | Statement: [Cloudflare, foundedBy, Lee Holloway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Holloway Context triple: [Cloudflare, foundedBy, Lee Holloway]
-
A.
Michele Hollister
Michele Hollister is a film editor known for her work on the 1999 drama film "Sunshine."
-
B.
Jess Hall
Jess Hall is a British cinematographer known for his visually distinctive work on films such as "Transcendence," "Hot Fuzz," and "Ghost in the Shell."
-
C.
Jerry Horton
Jerry Horton is an American guitarist best known as the lead guitarist and a founding member of the rock band Papa Roach.
-
D.
Jo Hayden
Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
-
E.
Lee Blanchard
Lee Blanchard is a fictional Los Angeles detective in James Ellroy’s crime novel "The Black Dahlia," deeply obsessed with solving the infamous 1947 Elizabeth Short murder case.
- 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: Lee Holloway Triple: [Cloudflare, foundedBy, Lee Holloway]
Generated description
Lee Holloway is a software engineer best known as one of the co-founders and early technical architects of the internet security and performance company Cloudflare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Holloway Target entity description: Lee Holloway is a software engineer best known as one of the co-founders and early technical architects of the internet security and performance company Cloudflare.
-
A.
Michele Hollister
Michele Hollister is a film editor known for her work on the 1999 drama film "Sunshine."
-
B.
Jess Hall
Jess Hall is a British cinematographer known for his visually distinctive work on films such as "Transcendence," "Hot Fuzz," and "Ghost in the Shell."
-
C.
Jerry Horton
Jerry Horton is an American guitarist best known as the lead guitarist and a founding member of the rock band Papa Roach.
-
D.
Jo Hayden
Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
-
E.
Lee Blanchard
Lee Blanchard is a fictional Los Angeles detective in James Ellroy’s crime novel "The Black Dahlia," deeply obsessed with solving the infamous 1947 Elizabeth Short murder case.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355b052688190a0d8e5912f82151c |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f3b9950819085c285defda52d51 |
completed | March 15, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69b6601c1d4481909147ddab42bc29b5 |
completed | March 15, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66072e9508190ae279ec662dce25c |
completed | March 15, 2026, 7:32 a.m. |
Created at: March 12, 2026, 11:32 p.m.