Triple
T12209680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Fletcher |
E290922
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Sally Fletcher
Sally Fletcher is the spouse of Ian Fletcher, known primarily in relation to his public and professional profile.
|
E1020655
|
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: Sally Fletcher | Statement: [Ian Fletcher, hasSpouse, Sally Fletcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Fletcher Context triple: [Ian Fletcher, hasSpouse, Sally Fletcher]
-
A.
Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
-
B.
Sally Hyde
Sally Hyde is a central character in the 1978 film "Coming Home," a military wife whose evolving relationships and political awakening reflect the emotional and social upheavals of the Vietnam War era.
-
C.
Sally Elliott
Sally Elliott is a fictional character featured in the 1942 musical film "My Gal Sal."
-
D.
Sally Benson
Sally Benson was an American author and screenwriter best known for her semi-autobiographical stories that inspired the classic film "Meet Me in St. Louis."
-
E.
Sally Rogers
Sally Rogers is a quick-witted comedy writer and one of the central ensemble characters on the classic 1960s sitcom "The Dick Van Dyke Show."
- 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: Sally Fletcher Triple: [Ian Fletcher, hasSpouse, Sally Fletcher]
Generated description
Sally Fletcher is the spouse of Ian Fletcher, known primarily in relation to his public and professional profile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sally Fletcher Target entity description: Sally Fletcher is the spouse of Ian Fletcher, known primarily in relation to his public and professional profile.
-
A.
Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
-
B.
Sally Hyde
Sally Hyde is a central character in the 1978 film "Coming Home," a military wife whose evolving relationships and political awakening reflect the emotional and social upheavals of the Vietnam War era.
-
C.
Sally Elliott
Sally Elliott is a fictional character featured in the 1942 musical film "My Gal Sal."
-
D.
Sally Benson
Sally Benson was an American author and screenwriter best known for her semi-autobiographical stories that inspired the classic film "Meet Me in St. Louis."
-
E.
Sally Rogers
Sally Rogers is a quick-witted comedy writer and one of the central ensemble characters on the classic 1960s sitcom "The Dick Van Dyke Show."
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5e476d48190b6d9fafa7fe1cb9f |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d943a80c81909bc39b9a9ef303bd |
completed | May 3, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da1e56388190b536831b2c6d493f |
completed | May 3, 2026, 5:16 a.m. |
Created at: April 8, 2026, 9:51 p.m.