Triple
T22876145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortress |
E567331
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Doug Lea
Doug Lea is a prominent computer scientist known for his influential work on concurrent programming and the design of Java’s concurrency utilities.
|
E1558494
|
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 Lea | Statement: [Fortress, designer, Doug Lea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Lea Context triple: [Fortress, designer, Doug Lea]
-
A.
Michael Hillegas
Michael Hillegas was an American merchant and statesman who served as the first Treasurer of the United States during the Revolutionary era.
-
B.
Larry Goshorn
Larry Goshorn is an American guitarist and singer best known for his work with the country rock band Pure Prairie League in the 1970s.
-
C.
James Gosling
James Gosling is a Canadian computer scientist best known as the creator of the Java programming language.
-
D.
Deane Beman
Deane Beman is a former professional golfer and influential PGA Tour commissioner credited with transforming the tour into a modern, financially robust sports organization.
-
E.
L. Peter Deutsch
L. Peter Deutsch is a computer scientist and software developer best known for creating the Ghostscript interpreter for the PostScript language and PDF files.
- 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 Lea Triple: [Fortress, designer, Doug Lea]
Generated description
Doug Lea is a prominent computer scientist known for his influential work on concurrent programming and the design of Java’s concurrency utilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doug Lea Target entity description: Doug Lea is a prominent computer scientist known for his influential work on concurrent programming and the design of Java’s concurrency utilities.
-
A.
Michael Hillegas
Michael Hillegas was an American merchant and statesman who served as the first Treasurer of the United States during the Revolutionary era.
-
B.
Larry Goshorn
Larry Goshorn is an American guitarist and singer best known for his work with the country rock band Pure Prairie League in the 1970s.
-
C.
James Gosling
James Gosling is a Canadian computer scientist best known as the creator of the Java programming language.
-
D.
Deane Beman
Deane Beman is a former professional golfer and influential PGA Tour commissioner credited with transforming the tour into a modern, financially robust sports organization.
-
E.
L. Peter Deutsch
L. Peter Deutsch is a computer scientist and software developer best known for creating the Ghostscript interpreter for the PostScript language and PDF files.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f58a7308190b710bdf013e2e114 |
completed | April 29, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae9a47dc819099627ee010461c39 |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0bafe8692c819094c6e511964f8b2e |
completed | May 19, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb0abb2c481909c1897b302e92579 |
completed | May 19, 2026, 12:36 a.m. |
Created at: April 17, 2026, 3:39 p.m.