Triple
T8067518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burrow |
E188280
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Harriet Burrow |
E36082
|
NE FINISHED |
How this triple was built (2 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: Harriet Burrow | Statement: [Burrow, hasNotableBearer, Harriet Burrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harriet Burrow Context triple: [Burrow, hasNotableBearer, Harriet Burrow]
-
A.
Harriet Burrow
chosen
Harriet Burrow was the mother of the influential British philosopher and political economist John Stuart Mill.
-
B.
Harriet Pitt
Harriet Pitt was an 18th-century British actress known for her work on the London stage and as the mother of actor and playwright Charles Dibdin the younger.
-
C.
Harriet Pitt
Harriet Pitt was an 18th-century British actress and the daughter of statesman William Pitt the Elder.
-
D.
Henrietta Gough
Henrietta Gough was the wife of English actor Michael Gough, known for his prolific work in film, television, and theatre.
-
E.
Ethel Chambers
Ethel Chambers is a notable individual who shares the Chambers surname and is recognized as a distinguished bearer of that family name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff8a4fc8190a97fc7111ca7ec4d |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e587908190980f1f026f4aa153 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.