Triple
T1582076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Revere |
E33786
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Samuel Rosen |
E244601
|
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: Samuel Rosen | Statement: [Anne Revere, spouse, Samuel Rosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Rosen Context triple: [Anne Revere, spouse, Samuel Rosen]
-
A.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
B.
Samuel Baum
Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
-
C.
Samuel Hoffenstein
Samuel Hoffenstein was an American screenwriter and poet best known for his witty, sophisticated scripts in Hollywood films of the 1930s and 1940s.
-
D.
Beryl David Rosofsky
Beryl David Rosofsky was the birth name of Barney Ross, the famed American professional boxer and three-division world champion of the 1930s.
-
E.
Irving Brecher
chosen
Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908ef80a48190bd5a8e51c65e5588 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb65a9680819096e82b69b05cfa92 |
completed | March 10, 2026, 6:12 a.m. |
Created at: March 4, 2026, 7:27 p.m.