Triple
T18528582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etsy |
E452779
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Chris Maguire
Chris Maguire is a co-founder of Etsy, the popular online marketplace for handmade and vintage goods.
|
E1328946
|
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: Chris Maguire | Statement: [Etsy, foundedBy, Chris Maguire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Maguire Context triple: [Etsy, foundedBy, Chris Maguire]
-
A.
Kevin Maguire
Kevin Maguire is an American comic book artist best known for his expressive character work on DC titles such as Justice League International.
-
B.
Mike McGarvey
Mike McGarvey is a technology executive best known for co-founding the cloud gaming company OnLive.
-
C.
Michael Frater
Michael Frater is a Jamaican sprinter specializing in the 100 metres who has been a key member of Jamaica’s world-record-setting and Olympic medal-winning 4 × 100 metres relay teams.
-
D.
Michael Malthouse
Michael "Mick" Malthouse is a prominent Australian rules football coach and former player, best known for his long and successful coaching career in the AFL with clubs including West Coast, Collingwood, and Carlton.
-
E.
Jeff Maguire
Jeff Maguire is an American screenwriter best known for writing the political thriller film "In the Line of Fire."
- 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: Chris Maguire Triple: [Etsy, foundedBy, Chris Maguire]
Generated description
Chris Maguire is a co-founder of Etsy, the popular online marketplace for handmade and vintage goods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Maguire Target entity description: Chris Maguire is a co-founder of Etsy, the popular online marketplace for handmade and vintage goods.
-
A.
Kevin Maguire
Kevin Maguire is an American comic book artist best known for his expressive character work on DC titles such as Justice League International.
-
B.
Mike McGarvey
Mike McGarvey is a technology executive best known for co-founding the cloud gaming company OnLive.
-
C.
Michael Frater
Michael Frater is a Jamaican sprinter specializing in the 100 metres who has been a key member of Jamaica’s world-record-setting and Olympic medal-winning 4 × 100 metres relay teams.
-
D.
Michael Malthouse
Michael "Mick" Malthouse is a prominent Australian rules football coach and former player, best known for his long and successful coaching career in the AFL with clubs including West Coast, Collingwood, and Carlton.
-
E.
Jeff Maguire
Jeff Maguire is an American screenwriter best known for writing the political thriller film "In the Line of Fire."
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fad2d081908395914d6a6b4eb1 |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049178ea1c819085480137adfb3841 |
completed | May 13, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a04921b1a508190b8bb6d6c4597ab99 |
completed | May 13, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0492ba4ea08190b59510b221ad5d21 |
completed | May 13, 2026, 3:03 p.m. |
Created at: April 10, 2026, 11:37 a.m.