Triple
T10263174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Snuff Company |
E240649
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Hawken |
E813532
|
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: Hawken | Statement: [American Snuff Company, brand, Hawken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawken Context triple: [American Snuff Company, brand, Hawken]
-
A.
Hawken
chosen
Hawken is a surname and given name of English origin, used as a variant of Hawkins.
-
B.
Haven City
Haven City is a heavily fortified, dystopian metropolis in the Jak and Daxter video game series, known for its oppressive regime, advanced technology, and constant conflict with invading forces.
-
C.
Redshore City
Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
-
D.
Seahaven
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
-
E.
Worldport
Worldport is UPS Airlines’ massive global air freight hub and sorting facility located at Louisville Muhammad Ali International Airport in Kentucky.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25dac34819099dbfad7f80507bb |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f81dd481909022efde8fc46e68 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:33 a.m.