Triple
T13840117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrison Gray Otis |
E332633
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sally Foster
Sally Foster was the wife of prominent American newspaper publisher and politician Harrison Gray Otis.
|
E1182472
|
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 Foster | Statement: [Harrison Gray Otis, spouse, Sally Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Foster Context triple: [Harrison Gray Otis, spouse, Sally Foster]
-
A.
Sally Cobb
Sally Cobb was the wife of American Founding Father and Declaration of Independence signer Robert Treat Paine.
-
B.
Sylvia Fowler
Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
-
C.
Sally Fletcher
Sally Fletcher is the spouse of Ian Fletcher, known primarily in relation to his public and professional profile.
-
D.
Sally Ellicott
Sally Ellicott was the wife of U.S. Supreme Court Associate Justice Henry Baldwin and a member of the prominent Ellicott family.
-
E.
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."
- 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 Foster Triple: [Harrison Gray Otis, spouse, Sally Foster]
Generated description
Sally Foster was the wife of prominent American newspaper publisher and politician Harrison Gray Otis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sally Foster Target entity description: Sally Foster was the wife of prominent American newspaper publisher and politician Harrison Gray Otis.
-
A.
Sally Cobb
Sally Cobb was the wife of American Founding Father and Declaration of Independence signer Robert Treat Paine.
-
B.
Sylvia Fowler
Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
-
C.
Sally Fletcher
Sally Fletcher is the spouse of Ian Fletcher, known primarily in relation to his public and professional profile.
-
D.
Sally Ellicott
Sally Ellicott was the wife of U.S. Supreme Court Associate Justice Henry Baldwin and a member of the prominent Ellicott family.
-
E.
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."
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb02b55f4819098f2b18fcf17ef0e |
completed | May 9, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69ffb0ae72e48190a3c799a7f242c94c |
completed | May 9, 2026, 10:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb0e11fc481908a2609979dea4d59 |
completed | May 9, 2026, 10:10 p.m. |
Created at: April 9, 2026, 10:13 p.m.