Triple
T12721125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Frederick Lindley Wood |
E303985
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lindley |
E319699
|
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: Lindley | Statement: [Edward Frederick Lindley Wood, givenName, Lindley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindley Context triple: [Edward Frederick Lindley Wood, givenName, Lindley]
-
A.
Lindley
chosen
Lindley refers to John Lindley, a prominent 19th-century English botanist known for his influential work in plant taxonomy and classification.
-
B.
Lindley
Lindley is the surname of American actor and rodeo performer Slim Pickens, born Louis Burton Lindley Jr.
-
C.
Earnley
Earnley is a small rural village and civil parish in West Sussex, England, situated near the south coast on the Manhood Peninsula.
-
D.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
E.
Duffus
Duffus is a historic area in Moray, Scotland, known for its medieval castle and association with the powerful de Moravia (Moray) family.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964133fe481909a44b8159ab8997b |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8250108190bb7b3c93e590ea47 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:24 p.m.