Triple
T11458592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberta Sue Ficker |
E271590
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Roberta Peters |
E937940
|
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: Roberta Peters | Statement: [Roberta Sue Ficker, alsoKnownAs, Roberta Peters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberta Peters Context triple: [Roberta Sue Ficker, alsoKnownAs, Roberta Peters]
-
A.
Roberta Peters
chosen
Roberta Peters was a renowned American coloratura soprano celebrated for her long and distinguished career at the Metropolitan Opera.
-
B.
Roberta Russell
Roberta Russell is best known as the longtime wife of Hall of Fame college basketball coach Lute Olson.
-
C.
Patty Dann
Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
-
D.
Roberta Martin
Roberta Martin is a central childhood friend in the coming-of-age film "Now and Then," known for her tomboyish personality and strong, loyal nature within the group.
-
E.
Roberta Fidler
Roberta Fidler is known as the spouse of John Sutton.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12a7ea2c81909ac2ce2bbe549ebb |
completed | April 27, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:35 p.m.