Triple
T14737331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Hagen |
E346246
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tom Seidel |
E346246
|
NE FINISHED |
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: Tom Seidel | Statement: [Jean Hagen, spouse, Tom Seidel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Seidel Context triple: [Jean Hagen, spouse, Tom Seidel]
-
A.
Tom Seidel
chosen
Tom Seidel was the husband of American actress Jean Hagen, known for her role in the classic film "Singin' in the Rain."
-
B.
Chad Seiter
Chad Seiter is an American composer and orchestrator known for his work on television series, films, and video game soundtracks.
-
C.
Mike Sievert
Mike Sievert is an American business executive best known for leading T-Mobile US through its high-growth, "Un-carrier" strategy and major merger with Sprint.
-
D.
Mike Schuler
Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
-
E.
Richard Seifert
Richard Seifert was a prominent 20th-century British architect known for his influential and often controversial modernist high-rise buildings across London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133571008190b7e7867208095b90 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 10, 2026, 1:29 a.m.