Triple
T21283051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaine Jill Bickerstaff |
E524578
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bickerstaff
Bickerstaff is an English-language surname borne by various notable individuals across fields such as sports, entertainment, and academia.
|
E1476854
|
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: Bickerstaff | Statement: [Elaine Jill Bickerstaff, familyName, Bickerstaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bickerstaff Context triple: [Elaine Jill Bickerstaff, familyName, Bickerstaff]
-
A.
Barré
Barré is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
-
B.
Beaudine
Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
-
C.
Batten
Batten is a surname most notably associated with pioneering New Zealand aviator Jean Batten, famed for her record-breaking solo flights in the 1930s.
-
D.
Andermann
Andermann is a German-language surname borne by individuals such as Hermine Andermann.
-
E.
Krabbé
Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
- 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: Bickerstaff Triple: [Elaine Jill Bickerstaff, familyName, Bickerstaff]
Generated description
Bickerstaff is an English-language surname borne by various notable individuals across fields such as sports, entertainment, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bickerstaff Target entity description: Bickerstaff is an English-language surname borne by various notable individuals across fields such as sports, entertainment, and academia.
-
A.
Barré
Barré is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
-
B.
Beaudine
Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
-
C.
Batten
Batten is a surname most notably associated with pioneering New Zealand aviator Jean Batten, famed for her record-breaking solo flights in the 1930s.
-
D.
Andermann
Andermann is a German-language surname borne by individuals such as Hermine Andermann.
-
E.
Krabbé
Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d3dfbc819081bd876d95c7c480 |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099805915081909bd6ee33a5110747 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a099bd03e008190a86b07cd8af19371 |
completed | May 17, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a099c523f648190bfa87700d749c193 |
completed | May 17, 2026, 10:45 a.m. |
Created at: April 16, 2026, 4:03 p.m.