Triple
T8690525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franke Previte |
E206275
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hungry Eyes |
E431841
|
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: Hungry Eyes | Statement: [Franke Previte, notableWork, Hungry Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hungry Eyes Context triple: [Franke Previte, notableWork, Hungry Eyes]
-
A.
Hungry Eyes
chosen
"Hungry Eyes" is a pop song best known for its romantic, synth-driven style and later widespread recognition from its inclusion in the film Dirty Dancing.
-
B.
Eye to Eye
Eye to Eye is a creative work whose title matches its own name, likely a book, film, song, or television program centered on themes of direct confrontation or mutual understanding.
-
C.
In His Eyes
"In His Eyes" is a poignant duet from the Broadway musical Jekyll & Hyde, sung by the characters Lucy and Emma as they reflect on their conflicted feelings for the same man.
-
D.
The Devil In Your Eyes
The Devil In Your Eyes is a track from the progressive metal album "The Human Condition" by Saga.
-
E.
Lyin' Eyes
"Lyin' Eyes" is a 1975 country-rock song by the Eagles, known for its storytelling lyrics about infidelity and its smooth, harmony-rich sound.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5734602c81909a0687e00f4a4a26 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3df73b88190b67138ee5129de8b |
completed | April 2, 2026, 10:55 p.m. |
Created at: March 30, 2026, 6:33 p.m.