Triple
T11622875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Mulligan |
E276182
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Same Time, Next Year |
E592652
|
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: Same Time, Next Year | Statement: [Robert Mulligan, directed, Same Time, Next Year]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Same Time, Next Year Context triple: [Robert Mulligan, directed, Same Time, Next Year]
-
A.
Same Time, Next Year
chosen
Same Time, Next Year is a popular romantic comedy play by Bernard Slade that follows a man and woman who meet for an annual extramarital rendezvous over the course of several decades.
-
B.
The Next Time
"The Next Time" is a song featured on the album "What Comes Naturally."
-
C.
Next Time
"Next Time" is a song by British singer-songwriter Laura Marling from her critically acclaimed album *Semper Femina*.
-
D.
A Good Time
A Good Time is a 2019 Afrobeats studio album by Nigerian singer Davido, featuring hit singles and collaborations with several international artists.
-
E.
A Year and a Day
A Year and a Day is a film featuring actor T. R. Knight in its cast.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13491c0c819085f4ea17ad74612a |
completed | April 27, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:39 p.m.