Triple
T13398541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Shane |
E319765
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Stuart Warren
Stuart Warren is known primarily as the husband of American actress and businesswoman Sara Shane.
|
E1039753
|
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: Stuart Warren | Statement: [Sara Shane, spouse, Stuart Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Warren Context triple: [Sara Shane, spouse, Stuart Warren]
-
A.
Stuart Morrison
Stuart Morrison is a motorsport communications professional who serves as the head of communications for the Haas Formula 1 Team.
-
B.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
-
C.
Stuart Wilson
Stuart Wilson is a British actor known for his work in film, television, and theatre, often appearing in dramatic and period roles.
-
D.
Stuart Davies
Stuart Davies was a British aeronautical engineer best known for leading the design of the Avro Vulcan strategic bomber.
-
E.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
- 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: Stuart Warren Triple: [Sara Shane, spouse, Stuart Warren]
Generated description
Stuart Warren is known primarily as the husband of American actress and businesswoman Sara Shane.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stuart Warren Target entity description: Stuart Warren is known primarily as the husband of American actress and businesswoman Sara Shane.
-
A.
Stuart Morrison
Stuart Morrison is a motorsport communications professional who serves as the head of communications for the Haas Formula 1 Team.
-
B.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
-
C.
Stuart Wilson
Stuart Wilson is a British actor known for his work in film, television, and theatre, often appearing in dramatic and period roles.
-
D.
Stuart Davies
Stuart Davies was a British aeronautical engineer best known for leading the design of the Avro Vulcan strategic bomber.
-
E.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d9e7348190844e11dd6cbd13b0 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730745a248190b32c11eeee618864 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7313c6bcc8190a848cf8945a0ae2a |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f736f2f6a081908d532dba6f34ed97 |
completed | May 3, 2026, 11:52 a.m. |
Created at: April 9, 2026, 9:34 p.m.