Triple
T10312073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Lucchesi |
E241915
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Perfect Guy |
E356035
|
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: The Perfect Guy | Statement: [Gary Lucchesi, notableWork, The Perfect Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Perfect Guy Context triple: [Gary Lucchesi, notableWork, The Perfect Guy]
-
A.
The Perfect Guy
chosen
The Perfect Guy is a 2015 psychological thriller film about a woman whose seemingly ideal new boyfriend becomes dangerously obsessive and violent.
-
B.
My Guy
"My Guy" is a 1964 Motown soul hit, sung by Mary Wells and written by Smokey Robinson, that became one of the label’s signature songs.
-
C.
A Wonderful Guy
"A Wonderful Guy" is a popular show tune from the 1949 Rodgers and Hammerstein musical *South Pacific*, known for its upbeat expression of romantic joy.
-
D.
Perfect Girl
"Perfect Girl" is a song by the Japanese all-girl rock band Afterglow from the BanG Dream! multimedia franchise.
-
E.
The Single Guy
The Single Guy is an American sitcom that aired in the mid-1990s, following the misadventures of a young bachelor navigating life and relationships in New York City.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32b85288190a11e09a0ab80d66c |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d801978819097293b5c98350fef |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:48 a.m.