Triple
T8431338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightingale |
E199120
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Joe Hobeck
Joe Hobeck is an editor known for his work on the publication "Nightingale."
|
E734378
|
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: Joe Hobeck | Statement: [Nightingale, editedBy, Joe Hobeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Hobeck Context triple: [Nightingale, editedBy, Joe Hobeck]
-
A.
Jon Hoeber
Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
-
B.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
C.
Richard Dybeck
Richard Dybeck was a 19th-century Swedish jurist, antiquarian, and poet best known for writing the lyrics to Sweden’s de facto national anthem, "Du gamla, Du fria."
-
D.
Greg Hoblit
Greg Hoblit is an American film and television director and producer known for his work on acclaimed series like "Hill Street Blues" and films such as "Primal Fear" and "Frequency."
-
E.
Roger Horchow
Roger Horchow was an American catalog entrepreneur and Broadway producer known for founding the Horchow Collection and winning a Tony Award for his work in theater.
- 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: Joe Hobeck Triple: [Nightingale, editedBy, Joe Hobeck]
Generated description
Joe Hobeck is an editor known for his work on the publication "Nightingale."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Hobeck Target entity description: Joe Hobeck is an editor known for his work on the publication "Nightingale."
-
A.
Jon Hoeber
Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
-
B.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
C.
Richard Dybeck
Richard Dybeck was a 19th-century Swedish jurist, antiquarian, and poet best known for writing the lyrics to Sweden’s de facto national anthem, "Du gamla, Du fria."
-
D.
Greg Hoblit
Greg Hoblit is an American film and television director and producer known for his work on acclaimed series like "Hill Street Blues" and films such as "Primal Fear" and "Frequency."
-
E.
Roger Horchow
Roger Horchow was an American catalog entrepreneur and Broadway producer known for founding the Horchow Collection and winning a Tony Award for his work in theater.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d5a671c8190aebbe94e8838cddb |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1f64337c8190a78a3d5bb2b9c56e |
completed | April 2, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1ff71038819085f0a9d534e06356 |
completed | April 2, 2026, 7:51 a.m. |
Created at: March 30, 2026, 6:07 p.m.