Triple
T18686158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Siegel |
E456868
|
entity |
| Predicate | writingPartner |
P49107
|
FINISHED |
| Object | Scott Siegel |
—
|
NE NERFINISHED |
How this triple was built (2 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, writingPartner, Scott Siegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Siegel Context triple: [Barbara Siegel, writingPartner, Scott Siegel]
-
A.
Scott Siegel
chosen
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.
-
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.
David Siegel
David Siegel is a film editor known for his work on major Hollywood productions, including the 1998 remake of "Godzilla."
-
E.
Ian Siegel
Ian Siegel is an American entrepreneur best known as the co-founder and longtime CEO of the online employment marketplace ZipRecruiter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 11:49 a.m.