Triple
T3940571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Jonson |
E92022
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Timber, or Discoveries |
E399540
|
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: Timber, or Discoveries | Statement: [Ben Jonson, wrote, Timber, or Discoveries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timber, or Discoveries Context triple: [Ben Jonson, wrote, Timber, or Discoveries]
-
A.
Timber, or Discoveries
chosen
"Timber, or Discoveries" is a posthumously published prose collection by Ben Jonson, consisting of aphoristic reflections on literature, language, and moral philosophy.
-
B.
Wooden Wonder
Wooden Wonder is the famous nickname of the de Havilland Mosquito, a fast and versatile British World War II combat aircraft notable for its largely wooden construction.
-
C.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
D.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
E.
In the Woods
In the Woods is a 19th-century landscape painting by American artist Asher B. Durand, exemplifying the Hudson River School’s detailed and reverent depiction of the natural world.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfc88e4819084adefb695b975c5 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533912bf881909e5e5e9e4245edbf |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:24 p.m.