Triple
T14724187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeanne Tripplehorn |
E345891
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mickey Blue Eyes |
E840497
|
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: Mickey Blue Eyes | Statement: [Jeanne Tripplehorn, notableWork, Mickey Blue Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mickey Blue Eyes Context triple: [Jeanne Tripplehorn, notableWork, Mickey Blue Eyes]
-
A.
Mickey Blue Eyes
chosen
Mickey Blue Eyes is a 1999 romantic comedy film starring Hugh Grant as an English auctioneer who becomes entangled with the New York Mafia through his fiancée’s family.
-
B.
Mickey One
Mickey One is a 1965 avant-garde crime drama film starring Warren Beatty as a paranoid stand-up comic on the run from the mob.
-
C.
Mickey
Mickey is the central protagonist of the 1938 horse-racing drama film "Stablemates," around whom the story’s emotional and narrative arc revolves.
-
D.
Mickey
Mickey is the nickname of English actress Mickey Sumner, known for her roles in film and television such as "Frances Ha" and "Snowpiercer."
-
E.
Mickey
Mickey is a themed parking section within the Mickey & Friends Parking Structure at the Disneyland Resort, named after Mickey Mouse.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf09791e081908a1262717fd31445 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.