Triple
T11770266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ainsworth |
E279877
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ainsworth
Ainsworth is an English surname of Old English origin, borne by various notable individuals in politics, sports, and the arts.
|
E945719
|
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: Ainsworth | Statement: [Bob Ainsworth, familyName, Ainsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ainsworth Context triple: [Bob Ainsworth, familyName, Ainsworth]
-
A.
Childrey
Childrey is a small village and civil parish in Oxfordshire, England, situated in the Vale of White Horse near the town of Wantage.
-
B.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
C.
Betsy
Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
-
D.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
-
E.
Allanetta
Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
- 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: Ainsworth Triple: [Bob Ainsworth, familyName, Ainsworth]
Generated description
Ainsworth is an English surname of Old English origin, borne by various notable individuals in politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ainsworth Target entity description: Ainsworth is an English surname of Old English origin, borne by various notable individuals in politics, sports, and the arts.
-
A.
Childrey
Childrey is a small village and civil parish in Oxfordshire, England, situated in the Vale of White Horse near the town of Wantage.
-
B.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
C.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
-
D.
Betsy
Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
-
E.
Allanetta
Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55c9f988190b203b66a28c767ae |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09086c4ec81908bc8b707a49c3ac2 |
completed | April 28, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69f0bd3cf8308190813003daa8cfba4a |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef02c930819086d139834ad4ed84 |
completed | April 28, 2026, 5:31 p.m. |
Created at: April 8, 2026, 9:41 p.m.