Triple
T21262452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissan Z (RZ34) |
E524037
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Ford Mustang |
—
|
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: Ford Mustang | Statement: [Nissan Z (RZ34), competitor, Ford Mustang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ford Mustang Context triple: [Nissan Z (RZ34), competitor, Ford Mustang]
-
A.
Ford Mustang
chosen
The Ford Mustang is an iconic American sports car known for its powerful performance, distinctive styling, and central role in popular car culture since the 1960s.
-
B.
Ford Mustang Shelby GT350
The Ford Mustang Shelby GT350 is a high-performance, track-focused variant of the Mustang renowned for its naturally aspirated flat-plane-crank V8, sharp handling, and aggressive aerodynamics.
-
C.
The Mustang
The Mustang is a 2019 drama film about a violent convict who begins to rehabilitate himself through a prison wild-horse training program.
-
D.
The Ford
The Ford is a small hamlet within the civil parish of Little Hadham in Hertfordshire, England.
-
E.
Mustang
Mustang is a small suburban city in central Oklahoma known for its family-oriented community and proximity to Oklahoma City.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e899e081909d3c98fb12a8b476 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 4 p.m.