Triple
T15585252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Bicknell |
E374603
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bicknell
Bicknell is an English-language surname borne by various notable individuals in fields such as sports, politics, and the arts.
|
E1165713
|
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: Bicknell | Statement: [Jack Bicknell, familyName, Bicknell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bicknell Context triple: [Jack Bicknell, familyName, Bicknell]
-
A.
Binnaway
Binnaway is a small rural town in the Orana region of New South Wales, Australia, known for its agricultural surroundings and historic railway connections.
-
B.
Faison
Faison is a surname most notably associated with American actor and comedian Donald Faison.
-
C.
Pangborn
Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
-
D.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
E.
Buckman
Buckman is a historic, mixed-use neighborhood in inner southeast Portland, Oregon, known for its older residential streets, industrial areas, and vibrant local businesses.
- 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: Bicknell Triple: [Jack Bicknell, familyName, Bicknell]
Generated description
Bicknell is an English-language surname borne by various notable individuals in fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bicknell Target entity description: Bicknell is an English-language surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
A.
Binnaway
Binnaway is a small rural town in the Orana region of New South Wales, Australia, known for its agricultural surroundings and historic railway connections.
-
B.
Faison
Faison is a surname most notably associated with American actor and comedian Donald Faison.
-
C.
Pangborn
Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
-
D.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
E.
Buckman
Buckman is a historic, mixed-use neighborhood in inner southeast Portland, Oregon, known for its older residential streets, industrial areas, and vibrant local businesses.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4f71e48190a15eb0a2138f083f |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4fb2522481909fa66c2e1fac23bf |
completed | May 9, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5238f0e88190b280942022480c12 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:11 a.m.