Triple
T13403230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Welch |
E319886
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lew Welch |
E319886
|
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: Lew Welch | Statement: [Lew Welch, name, Lew Welch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lew Welch Context triple: [Lew Welch, name, Lew Welch]
-
A.
Lew Welch
chosen
Lew Welch was an American poet associated with the Beat Generation and the San Francisco Renaissance, known for his introspective, jazz-influenced verse and his mysterious disappearance in 1971.
-
B.
J. T. Walsh
J. T. Walsh was an American character actor known for his intense, often villainous roles in numerous films of the 1980s and 1990s.
-
C.
Leonard Weinglass
Leonard Weinglass was a prominent American civil rights and criminal defense attorney known for representing high-profile political activists and controversial defendants in landmark cases of the 1960s and 1970s.
-
D.
Dan Woolsey
Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
-
E.
Thomas Whalen
Thomas Whalen was a Scottish sculptor known for his architectural and public works, including prominent pieces in Edinburgh.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307904608190ad647f741c08dc42 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.