Triple
T9871745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Eastman |
E239972
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eastman |
E585156
|
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: Eastman | Statement: [Lee Eastman, familyName, Eastman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eastman Context triple: [Lee Eastman, familyName, Eastman]
-
A.
Eastman
chosen
Eastman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and social reform.
-
B.
Eastman
Eastman is a given name most notably associated with the 19th-century American painter Eastman Johnson, a co-founder of the Metropolitan Museum of Art.
-
C.
MacDermid
MacDermid is a surname of Scottish origin, commonly regarded as a variant spelling of McDiarmid.
-
D.
Wyeth
Wyeth was a major American pharmaceutical and biotechnology company known for developing vaccines, prescription drugs, and consumer healthcare products before being acquired by Pfizer.
-
E.
Perkin
Perkin is a surname most famously associated with William Henry Perkin, the English chemist who discovered the first synthetic dye, mauveine.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3f5cc948190b03186b867c92229 |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e46f18148190a36af7e7d7487205 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:36 p.m.