Triple
T12502644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laporte |
E298866
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Leo Laporte
Leo Laporte is an American technology broadcaster and author best known as the founder and host of the TWiT.tv podcast network and former host of tech shows on TechTV and radio.
|
E993560
|
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: Leo Laporte | Statement: [Laporte, hasNotableBearer, Leo Laporte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo Laporte Context triple: [Laporte, hasNotableBearer, Leo Laporte]
-
A.
Jean-Luc Brassard
Jean-Luc Brassard is a Canadian former freestyle skier and Olympic gold medalist in moguls.
-
B.
Gilles Vachon
Gilles Vachon is a French-Canadian writer and screenwriter known for his work in literature and film.
-
C.
Jules Jetté
Jules Jetté was a Jesuit missionary and linguist known for his pioneering documentation and study of the Koyukon Athabaskan language and culture in Alaska.
-
D.
Paul Gervais
Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
-
E.
Ian Laperrière
Ian Laperrière is a retired Canadian professional ice hockey right winger who played over 1,000 NHL games, primarily known for his gritty, hard-working style and leadership.
- 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: Leo Laporte Triple: [Laporte, hasNotableBearer, Leo Laporte]
Generated description
Leo Laporte is an American technology broadcaster and author best known as the founder and host of the TWiT.tv podcast network and former host of tech shows on TechTV and radio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leo Laporte Target entity description: Leo Laporte is an American technology broadcaster and author best known as the founder and host of the TWiT.tv podcast network and former host of tech shows on TechTV and radio.
-
A.
Jean-Luc Brassard
Jean-Luc Brassard is a Canadian former freestyle skier and Olympic gold medalist in moguls.
-
B.
Gilles Vachon
Gilles Vachon is a French-Canadian writer and screenwriter known for his work in literature and film.
-
C.
Jules Jetté
Jules Jetté was a Jesuit missionary and linguist known for his pioneering documentation and study of the Koyukon Athabaskan language and culture in Alaska.
-
D.
Paul Gervais
Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
-
E.
Ian Laperrière
Ian Laperrière is a retired Canadian professional ice hockey right winger who played over 1,000 NHL games, primarily known for his gritty, hard-working style and leadership.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfcea188190a929db1aabe1a286 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eac74608190a6f1941ed5a05212 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fadc97081908376913e390cfc3d |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f660c3d914819097b57784889ca389 |
completed | May 2, 2026, 8:38 p.m. |
Created at: April 8, 2026, 9:57 p.m.