Triple
T9472946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Lew |
E228438
|
entity |
| Predicate | familyName |
P18
|
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: [Jack Lew, familyName, Lew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lew Context triple: [Jack Lew, familyName, 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.
Lee
Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
-
E.
Lew Harper
Lew Harper is a hardboiled private detective character, famously portrayed by Paul Newman in a series of crime films adapted from Ross Macdonald’s novels.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff0afd08190871b68a88fdbff2b |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122d625fc8190b8222930449ad3da |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:54 p.m.