Triple
T20388196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beef |
E498012
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ashley Park |
—
|
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: Ashley Park | Statement: [Beef, stars, Ashley Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Park Context triple: [Beef, stars, Ashley Park]
-
A.
Ashley Park
Ashley Park is a residential and recreational area in Walton-on-Thames, Surrey, known for its green spaces and affluent housing.
-
B.
Ashley Park
chosen
Ashley Park is a Tony-nominated American actress and singer best known for her work in Broadway musicals such as "Mean Girls" and for her role in the television series "Emily in Paris."
-
C.
Ashley Way
Ashley Way is a television and film director known for his work on British genre series and web-based productions.
-
D.
Ashton Park
Ashton Park is a public recreational park in West Kirby, England, known for its ornamental lake, open green spaces, and community facilities.
-
E.
Ashford Park
Ashford Park is a residential neighborhood in the city of Brookhaven, Georgia, known for its tree-lined streets, parks, and mix of renovated cottages and newer homes.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.