Triple
T8465005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris O'Donnell |
E200137
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Caroline Fentress
Caroline Fentress is an American schoolteacher best known as the wife of actor Chris O'Donnell.
|
E756574
|
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: Caroline Fentress | Statement: [Chris O'Donnell, spouse, Caroline Fentress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caroline Fentress Context triple: [Chris O'Donnell, spouse, Caroline Fentress]
-
A.
Caroline Ford
Caroline Ford is a British actress best known for her role in the fantasy television series "Carnival Row."
-
B.
Caroline Blakiston
Caroline Blakiston is a British actress known for her work in film and television, including roles in productions such as the Star Wars franchise and various British dramas.
-
C.
Caroline Pitts
Caroline Pitts was the wife of U.S. Supreme Court Justice Henry Billings Brown.
-
D.
Caroline Blackwood
Caroline Blackwood was a British writer and heiress known for her darkly comic novels and memoirs, as well as her connections to the Bloomsbury and literary circles of the mid-20th century.
-
E.
Amy Ferson
Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
- 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: Caroline Fentress Triple: [Chris O'Donnell, spouse, Caroline Fentress]
Generated description
Caroline Fentress is an American schoolteacher best known as the wife of actor Chris O'Donnell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caroline Fentress Target entity description: Caroline Fentress is an American schoolteacher best known as the wife of actor Chris O'Donnell.
-
A.
Caroline Ford
Caroline Ford is a British actress best known for her role in the fantasy television series "Carnival Row."
-
B.
Caroline Blakiston
Caroline Blakiston is a British actress known for her work in film and television, including roles in productions such as the Star Wars franchise and various British dramas.
-
C.
Caroline Pitts
Caroline Pitts was the wife of U.S. Supreme Court Justice Henry Billings Brown.
-
D.
Caroline Blackwood
Caroline Blackwood was a British writer and heiress known for her darkly comic novels and memoirs, as well as her connections to the Bloomsbury and literary circles of the mid-20th century.
-
E.
Amy Ferson
Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf512d294c8190bed7e37991d237c1 |
completed | April 3, 2026, 5:33 a.m. |
| NEDg | Description generation | batch_69cf540bee8081908f9c176a1971742f |
completed | April 3, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54a056408190bd536f79e3ec33be |
completed | April 3, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:11 p.m.