Triple
T12893483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesley Sullenberger |
E308427
|
entity |
| Predicate | coWorker |
P398
|
FINISHED |
| Object |
Jeffrey Skiles
Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
|
E1023747
|
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: Jeffrey Skiles | Statement: [Chesley Sullenberger, coWorker, Jeffrey Skiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Skiles Context triple: [Chesley Sullenberger, coWorker, Jeffrey Skiles]
-
A.
Jeffrey Himes
Jeffrey Himes is a musician best known for having been a past member of the indie rock band Okkervil River.
-
B.
Jeffery Hudson
Jeffery Hudson is a pseudonym used by American author Michael Crichton, notably for his early medical thriller "A Case of Need."
-
C.
Kevin Liles
Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
-
D.
Michael Dewell
Michael Dewell is best known as the husband of Dutch-American actress Nina Foch.
-
E.
Sid Jeffers
Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
- 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: Jeffrey Skiles Triple: [Chesley Sullenberger, coWorker, Jeffrey Skiles]
Generated description
Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Skiles Target entity description: Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
-
A.
Jeffrey Himes
Jeffrey Himes is a musician best known for having been a past member of the indie rock band Okkervil River.
-
B.
Jeffery Hudson
Jeffery Hudson is a pseudonym used by American author Michael Crichton, notably for his early medical thriller "A Case of Need."
-
C.
Kevin Liles
Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
-
D.
Michael Dewell
Michael Dewell is best known as the husband of Dutch-American actress Nina Foch.
-
E.
Sid Jeffers
Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaca8958819086df70db2ba497a5 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6eea871588190b18d3987ee1a9bf2 |
completed | May 3, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef02a6848190849876a0a6f32ffd |
completed | May 3, 2026, 6:45 a.m. |
Created at: April 9, 2026, 5:40 p.m.