Triple
T2529307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Tilley |
E56116
|
entity |
| Predicate | guardianOf |
P1040
|
FINISHED |
| Object | Henry Samson |
E277503
|
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: Henry Samson | Statement: [Edward Tilley, guardianOf, Henry Samson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Samson Context triple: [Edward Tilley, guardianOf, Henry Samson]
-
A.
Henry Samson
chosen
Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
-
B.
Henry Pilger
Henry Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not readily available.
-
C.
Thomas Sampson
Thomas Sampson was a 16th-century English Puritan theologian and churchman known for his role in the early English Reformation and involvement with the Geneva Bible.
-
D.
Henry Willis
Henry Willis was a businessman best known for establishing Willis Group Holdings, a major global insurance brokerage and risk management firm.
-
E.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd25903f08190b46e12d32278daca |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655441b0819088b86498520ee3b4 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:46 p.m.