Triple
T3638070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tostitos |
E77118
|
entity |
| Predicate | associatedProduct |
P3585
|
FINISHED |
| Object | Tostitos Queso Dip |
E77118
|
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: Tostitos Queso Dip | Statement: [Tostitos, associatedProduct, Tostitos Queso Dip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tostitos Queso Dip Context triple: [Tostitos, associatedProduct, Tostitos Queso Dip]
-
A.
Tostitos
chosen
Tostitos is a popular American brand of tortilla chips and related snack foods produced by Frito-Lay.
-
B.
TACO
TACO is a peer-reviewed scientific journal published by the ACM that focuses on research in computer architecture and code optimization.
-
C.
Trejo's Tacos
Trejo's Tacos is a Los Angeles-based Mexican restaurant chain founded by actor Danny Trejo, known for its street-style tacos and bold, casual dining vibe.
-
D.
Nacho Libre
Nacho Libre is a 2006 comedy film starring Jack Black as a monastery cook who becomes a masked luchador to support his orphanage.
-
E.
Honey Chile
"Honey Chile" is a 1967 Motown soul single by Martha and the Vandellas that became one of the group's later charting hits.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc328e5e481909d26318c743bc84a |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488320c58819088f8cc677f675ec3 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.