Triple
T10418754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora |
E245588
|
entity |
| Predicate | residesAt |
P75
|
FINISHED |
| Object | Bly |
E862354
|
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: Bly | Statement: [Flora, residesAt, Bly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bly Context triple: [Flora, residesAt, Bly]
-
A.
Bly
chosen
Bly is the remote English country estate that serves as the primary setting of Henry James's novella "The Turn of the Screw."
-
B.
Harrow Hill
Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
-
C.
Tono-Bungay
Tono-Bungay is a 1909 novel by H. G. Wells that satirically explores capitalism, social change, and personal disillusionment through the rise and fall of a quack patent medicine empire.
-
D.
Hailsham
Hailsham is a market town in southeastern England known for its historic center and role as a local commercial hub within East Sussex.
-
E.
Bakerville
Bakerville is a small village within the town of New Hartford in Litchfield County, Connecticut.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2938188190a908316d0a0959be |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e9b86648190b83eb5261c9a7b97 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:11 p.m.