Triple
T9392207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Billingsley |
E226051
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Billingsley
Billingsley is an English-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
|
E796248
|
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: Billingsley | Statement: [Barbara Billingsley, familyName, Billingsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billingsley Context triple: [Barbara Billingsley, familyName, Billingsley]
-
A.
Bickel
Bickel is the family name of the American actor Fredric March, a prominent star of classic Hollywood cinema.
-
B.
Hoel
Hoel is a given name and surname of Breton and Welsh origin, historically borne by several medieval rulers and later used in various European cultures.
-
C.
Barnes
Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
-
D.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
E.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
- 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: Billingsley Triple: [Barbara Billingsley, familyName, Billingsley]
Generated description
Billingsley is an English-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Billingsley Target entity description: Billingsley is an English-origin surname borne by various notable individuals in fields such as entertainment, sports, and academia.
-
A.
Bickel
Bickel is the family name of the American actor Fredric March, a prominent star of classic Hollywood cinema.
-
B.
Hoel
Hoel is a given name and surname of Breton and Welsh origin, historically borne by several medieval rulers and later used in various European cultures.
-
C.
Barnes
Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
-
D.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
E.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510eae0c8190b7c4ab487a366bb3 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1010169d88190a7267615a9196d4b |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d1024817f88190973d30bcbf0db228 |
completed | April 4, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d102b154f88190b13868ce5df59510 |
completed | April 4, 2026, 12:23 p.m. |
Created at: March 30, 2026, 7:45 p.m.