Triple
T9940068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Basinger |
E194055
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blind Date |
E643154
|
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: Blind Date | Statement: [Kim Basinger, notableWork, Blind Date]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blind Date Context triple: [Kim Basinger, notableWork, Blind Date]
-
A.
Blind Date
chosen
Blind Date is a 1987 romantic comedy film starring Bruce Willis and Kim Basinger, directed by Blake Edwards.
-
B.
Blind Date
Blind Date is a popular British television dating game show, best known for being hosted by singer and entertainer Cilla Black.
-
C.
First Date
"First Date" is a popular pop-punk song by American rock band Blink-182, known for its catchy melody and humorous take on the awkwardness of teenage romance.
-
D.
The Wedding Date
The Wedding Date is a 2005 romantic comedy film in which a woman hires a charming male escort to pose as her boyfriend at her sister’s wedding, leading to unexpected romance and complications.
-
E.
Blind Love
Blind Love is a song featured on the album "Burning Bridges."
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228fdb8e48190808702d48470395a |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.