Triple
T3711586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Kowarski |
E81426
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lew |
E228438
|
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 | Statement: [Lew Kowarski, givenName, Lew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lew Context triple: [Lew Kowarski, givenName, Lew]
-
A.
Lew
chosen
Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
-
B.
LEW
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
C.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
D.
Leroy
Leroy is the birth name of Eldridge Cleaver, a prominent American writer, political activist, and early leader of the Black Panther Party.
-
E.
Lou
Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc58617bc8190bb712d1c90394215 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0834288190b16cf49477dc2ed9 |
completed | March 14, 2026, 2:55 a.m. |
Created at: March 8, 2026, 3:33 p.m.