Triple
T2792888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Screen |
E61968
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Michael Schroeder
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
|
E309032
|
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: Michael Schroeder | Statement: [GNU Screen, developer, Michael Schroeder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Schroeder Context triple: [GNU Screen, developer, Michael Schroeder]
-
A.
Adam Schroeder
Adam Schroeder is a film producer best known for his work on major Hollywood features, including Tim Burton’s gothic horror film "Sleepy Hollow" (1999).
-
B.
Michael Schultz
Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
-
C.
Kevin Demoff
Kevin Demoff is an American sports executive best known for serving as the top front-office leader of the NFL’s Los Angeles Rams, overseeing the team’s business operations and strategic direction.
-
D.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
E.
Jonathan Corwin
Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
- 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: Michael Schroeder Triple: [GNU Screen, developer, Michael Schroeder]
Generated description
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Schroeder Target entity description: Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
-
A.
Adam Schroeder
Adam Schroeder is a film producer best known for his work on major Hollywood features, including Tim Burton’s gothic horror film "Sleepy Hollow" (1999).
-
B.
Michael Schultz
Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
-
C.
Kevin Demoff
Kevin Demoff is an American sports executive best known for serving as the top front-office leader of the NFL’s Los Angeles Rams, overseeing the team’s business operations and strategic direction.
-
D.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
E.
Jonathan Corwin
Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd107ac81908eb1a6946834eee3 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055cd4e1c8190a2eb97e648aa0080 |
completed | March 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69b05eeb3ccc81908b3af4ad99ee2bd4 |
completed | March 10, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b061084ec48190b347a5d2474b70fe |
completed | March 10, 2026, 6:20 p.m. |
Created at: March 6, 2026, 9:58 p.m.