Triple
T9445815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Foxworth |
E227761
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Stacey Thomas
Stacey Thomas is known as the spouse of American actor Robert Foxworth.
|
E806257
|
NE FINISHED |
How this triple was built (4 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: Stacey Thomas | Statement: [Robert Foxworth, spouse, Stacey Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacey Thomas Context triple: [Robert Foxworth, spouse, Stacey Thomas]
-
A.
Stacey Sutton
Stacey Sutton is a fictional geologist and Bond girl who appears as a key ally to James Bond in the 1985 film "A View to a Kill."
-
B.
Stacey Colbert
Stacey Colbert is a central character in the 1990s sitcom "Ned and Stacey," portrayed as an ambitious, sharp-tongued journalist who enters a marriage of convenience with ad executive Ned Dorsey.
-
C.
Stacy Barrett
Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
-
D.
Stacey King
Stacey King is a former American basketball player best known as an Oklahoma Sooners star and later a three-time NBA champion with the Chicago Bulls.
-
E.
Stacy Ann Ferguson
Stacy Ann Ferguson, better known by her stage name Fergie, is an American singer, rapper, and songwriter who gained fame as a member of the Black Eyed Peas and as a solo pop artist.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stacey Thomas Triple: [Robert Foxworth, spouse, Stacey Thomas]
Generated description
Stacey Thomas is known as the spouse of American actor Robert Foxworth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stacey Thomas Target entity description: Stacey Thomas is known as the spouse of American actor Robert Foxworth.
-
A.
Stacey Sutton
Stacey Sutton is a fictional geologist and Bond girl who appears as a key ally to James Bond in the 1985 film "A View to a Kill."
-
B.
Stacey Colbert
Stacey Colbert is a central character in the 1990s sitcom "Ned and Stacey," portrayed as an ambitious, sharp-tongued journalist who enters a marriage of convenience with ad executive Ned Dorsey.
-
C.
Stacy Barrett
Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
-
D.
Stacey King
Stacey King is a former American basketball player best known as an Oklahoma Sooners star and later a three-time NBA champion with the Chicago Bulls.
-
E.
Stacy Ann Ferguson
Stacy Ann Ferguson, better known by her stage name Fergie, is an American singer, rapper, and songwriter who gained fame as a member of the Black Eyed Peas and as a solo pop artist.
- F. None of above. chosen
Provenance (5 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f33deb88190bc74968575963ac4 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152643bbc8190840f294442f2e1cc |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d153365cec8190a992c9e2cd6ad98f |
completed | April 4, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d153ad7bc0819094ff50030b943643 |
completed | April 4, 2026, 6:08 p.m. |
Created at: March 30, 2026, 7:51 p.m.