Triple
T11760431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Steiger |
E279640
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sherry Nelson |
E509680
|
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: Sherry Nelson | Statement: [Rod Steiger, spouse, Sherry Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherry Nelson Context triple: [Rod Steiger, spouse, Sherry Nelson]
-
A.
Sherry Nelson
chosen
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
B.
Sherry Marsh
Sherry Marsh is a television and film producer best known for executive producing acclaimed series such as "Vikings."
-
C.
Sherry Smith
Sherry Smith was an early 20th-century Major League Baseball left-handed pitcher known for his strong performances in several World Series appearances.
-
D.
Sherry Holmes
Sherry Holmes is a Canadian contractor and television personality best known for appearing alongside her father Mike Holmes on various home renovation and inspection shows.
-
E.
Sherry Dyson
Sherry Dyson is an American mathematics educator best known as the former wife of entrepreneur and motivational speaker Chris Gardner, whose life inspired the film "The Pursuit of Happyness."
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967a96708190b8688e84fdb270b0 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 8, 2026, 9:41 p.m.