Triple
T4962827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori Anne Allison |
E111449
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Allison
Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
|
E483445
|
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: Allison | Statement: [Lori Anne Allison, familyName, Allison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allison Context triple: [Lori Anne Allison, familyName, Allison]
-
A.
Alison
Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
-
B.
Alyssa
Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
-
C.
Allegra Stratton
Allegra Stratton is a British journalist and former Downing Street press secretary known for her work in political communications and broadcasting.
-
D.
Allie Sherman
Allie Sherman was an American football coach best known for leading the New York Giants in the early 1960s, guiding them to multiple NFL Championship Game appearances.
-
E.
Allie Quigley
Allie Quigley is an American professional basketball guard best known as one of the WNBA’s premier three-point shooters and a multi-time Sixth Woman of the Year with the Chicago Sky.
- 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: Allison Triple: [Lori Anne Allison, familyName, Allison]
Generated description
Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allison Target entity description: Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
-
A.
Alison
Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
-
B.
Alyssa
Alyssa is a feminine given name that gained widespread popularity in the late 20th century, partly due to its use by American actress Alyssa Milano.
-
C.
Allegra Stratton
Allegra Stratton is a British journalist and former Downing Street press secretary known for her work in political communications and broadcasting.
-
D.
Allie Sherman
Allie Sherman was an American football coach best known for leading the New York Giants in the early 1960s, guiding them to multiple NFL Championship Game appearances.
-
E.
Allie Quigley
Allie Quigley is an American professional basketball guard best known as one of the WNBA’s premier three-point shooters and a multi-time Sixth Woman of the Year with the Chicago Sky.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f3e6148190b99f35734220ffc3 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81ea8cc08190af40098ca99364f1 |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be82dcc280819098eac824370b1af0 |
completed | March 21, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8349507481908643591de7f03f42 |
completed | March 21, 2026, 11:38 a.m. |
Created at: March 20, 2026, 1:32 p.m.