Triple
T22918412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lay's |
E568791
|
entity |
| Predicate | hasKeyCompetitor |
P1375
|
FINISHED |
| Object | Walkers |
—
|
NE NERFINISHED |
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: Walkers | Statement: [Lay's, hasKeyCompetitor, Walkers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walkers Context triple: [Lay's, hasKeyCompetitor, Walkers]
-
A.
Walkers
Walkers are reanimated human corpses that relentlessly hunt the living in the post-apocalyptic world of The Walking Dead.
-
B.
Walkers
chosen
Walkers is a leading British snack food brand best known for its crisps (potato chips) in a wide variety of flavors.
-
C.
Stonefoots
Stonefoots is a prominent Dwarven house known within fantasy lore for its sturdy lineage and traditional craftsmanship.
-
D.
Bootmen
Bootmen is an Australian dance film that follows a group of steelworkers who form a tap-dancing troupe, showcasing energetic choreography and working-class grit.
-
E.
Boots
Boots is a major British pharmacy-led health and beauty retailer and pharmacy chain with stores across the United Kingdom and other countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.