Triple
T1657899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bat Masterson |
E35840
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Emma Walter
Emma Walter was the wife of famed Old West lawman, gambler, and sportswriter Bat Masterson.
|
E321396
|
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: Emma Walter | Statement: [Bat Masterson, spouse, Emma Walter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Walter Context triple: [Bat Masterson, spouse, Emma Walter]
-
A.
Kate Wollman
Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
-
B.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
C.
Elizabeth Carolyn Vought
Elizabeth Carolyn Vought was the wife of American sociologist and botanist Lester Frank Ward.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
Amy Eshleman
Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
- 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: Emma Walter Triple: [Bat Masterson, spouse, Emma Walter]
Generated description
Emma Walter was the wife of famed Old West lawman, gambler, and sportswriter Bat Masterson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Walter Target entity description: Emma Walter was the wife of famed Old West lawman, gambler, and sportswriter Bat Masterson.
-
A.
Kate Wollman
Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
-
B.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
C.
Elizabeth Carolyn Vought
Elizabeth Carolyn Vought was the wife of American sociologist and botanist Lester Frank Ward.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
Amy Eshleman
Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90aafe5e881908158fab83998fd07 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de68338c8190bf28d0a51716623a |
completed | March 11, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69b1e5153640819085c78186c2490140 |
completed | March 11, 2026, 9:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e57c63288190a37f0d4f87c4108c |
completed | March 11, 2026, 9:58 p.m. |
Created at: March 4, 2026, 7:29 p.m.