Triple
T2409038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transmeta |
E50342
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Doug Laird
Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
|
E267279
|
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: Doug Laird | Statement: [Transmeta, foundedBy, Doug Laird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Laird Context triple: [Transmeta, foundedBy, Doug Laird]
-
A.
David Loughery
David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
-
B.
Jeff Nelson
Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
E.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
- 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: Doug Laird Triple: [Transmeta, foundedBy, Doug Laird]
Generated description
Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doug Laird Target entity description: Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
-
A.
David Loughery
David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
-
B.
Jeff Nelson
Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
E.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc925c6e481909bfd45b361d21963 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef09b92048190acfa3a85417f259c |
completed | March 9, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_69aef521b5048190aac3507ad20c6eee |
completed | March 9, 2026, 4:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef6450a1c8190ad5a844b31bff220 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 4, 2026, 7:58 p.m.