Triple
T15368394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Your Eyes |
E367474
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jennifer Grey |
E529090
|
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: Jennifer Grey | Statement: [In Your Eyes, castMember, Jennifer Grey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Grey Context triple: [In Your Eyes, castMember, Jennifer Grey]
-
A.
Jennifer Grey
chosen
Jennifer Grey is an American actress best known for her roles in the 1980s films "Dirty Dancing" and "Ferris Bueller's Day Off."
-
B.
Jennifer Beals
Jennifer Beals is an American actress best known for her breakout role in the film "Flashdance" and her extensive work in both film and television.
-
C.
Laura Kugler
Laura Kugler was the wife of Victor Kugler, one of the helpers who hid Anne Frank and her family during World War II.
-
D.
Sharley Hudson
Sharley Hudson was the wife of American character actor Keenan Wynn.
-
E.
Claudia Christian
Claudia Christian is an American actress best known for her role as Commander Susan Ivanova on the science fiction television series "Babylon 5."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b50703881909ca71c985bc1c7b5 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.