Triple
T18686152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Siegel |
E456868
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Scott Siegel
Scott Siegel is an American writer and editor best known for co-authoring numerous science fiction and fantasy books and media tie-in novels, often in collaboration with his wife, Barbara Siegel.
|
E1361912
|
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: Scott Siegel | Statement: [Barbara Siegel, spouse, Scott Siegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Siegel Context triple: [Barbara Siegel, spouse, Scott Siegel]
-
A.
David Siegel
David Siegel is an author known for writing the book "Escape."
-
B.
David Siegel
David Siegel is a film editor known for his work on major Hollywood productions, including the 1998 remake of "Godzilla."
-
C.
David Siegel
David Siegel is a music producer known for his work on various pop and electronic recordings, including the track "Escape."
-
D.
Ian Siegel
Ian Siegel is an American entrepreneur best known as the co-founder and longtime CEO of the online employment marketplace ZipRecruiter.
-
E.
Eric Siegel
Eric Siegel is an American actor and television writer best known for his work on series such as "The Goldbergs."
- 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: Scott Siegel Triple: [Barbara Siegel, spouse, Scott Siegel]
Generated description
Scott Siegel is an American writer and editor best known for co-authoring numerous science fiction and fantasy books and media tie-in novels, often in collaboration with his wife, Barbara Siegel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Siegel Target entity description: Scott Siegel is an American writer and editor best known for co-authoring numerous science fiction and fantasy books and media tie-in novels, often in collaboration with his wife, Barbara Siegel.
-
A.
David Siegel
David Siegel is a film editor known for his work on major Hollywood productions, including the 1998 remake of "Godzilla."
-
B.
David Siegel
David Siegel is an author known for writing the book "Escape."
-
C.
David Siegel
David Siegel is a music producer known for his work on various pop and electronic recordings, including the track "Escape."
-
D.
Ian Siegel
Ian Siegel is an American entrepreneur best known as the co-founder and longtime CEO of the online employment marketplace ZipRecruiter.
-
E.
Eric Siegel
Eric Siegel is an American actor and television writer best known for his work on series such as "The Goldbergs."
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2d9a24819098c8e963ee430437 |
completed | April 19, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f2372be48190bff30e8280a46efe |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f328c18881909948ed66d50b9eae |
completed | May 15, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4f990808190b3b8e21f85d20219 |
completed | May 15, 2026, 10:27 a.m. |
Created at: April 10, 2026, 11:49 a.m.