Triple
T17927593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Rooney |
E448236
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Judy |
—
|
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: Judy | Statement: [Sharon Rooney, appearedIn, Judy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy Context triple: [Sharon Rooney, appearedIn, Judy]
-
A.
Judy
chosen
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
-
B.
Judy
Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
-
C.
Judy
"Judy" is a multimedia artwork by American contemporary artist Tony Oursler, known for its experimental use of video projection and sculptural elements to explore psychological and technological themes.
-
D.
Judy
Judy is a central character in the 1963 teen drama film "It's My Party," around whom much of the story’s emotional conflict revolves.
-
E.
Judy
Judy is one of the young protagonists in Chris Van Allsburg’s 1981 children’s book *Jumanji*, whose decision to play a mysterious board game unleashes fantastical and dangerous events.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54f29a88190b035d8473765bde5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.