Triple
T13697403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Gondry |
E328420
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Be Kind Rewind |
E139145
|
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: Be Kind Rewind | Statement: [Michel Gondry, directed, Be Kind Rewind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Be Kind Rewind Context triple: [Michel Gondry, directed, Be Kind Rewind]
-
A.
Be Kind Rewind
chosen
Be Kind Rewind is a 2008 comedy film directed by Michel Gondry in which two video store clerks recreate erased VHS movies with homemade, low-budget remakes.
-
B.
Rewind the Film
"Rewind the Film" is a reflective, acoustic-leaning studio album by Welsh rock band Manic Street Preachers that explores themes of memory, aging, and social change.
-
C.
How Kind of You
"How Kind of You" is a reflective, understated song by Paul McCartney from his 2005 album "Chaos and Creation in the Backyard."
-
D.
You're Kind
"You're Kind" is a gentle, reflective song by Paul Simon from his 1975 album *Still Crazy After All These Years*.
-
E.
Special Kinda
Special Kinda is a song featured on Tiwa Savage’s EP "Water & Garri."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4f35888190b2c3df62bde1ce6e |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.