Triple
T15254157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Levy |
E364600
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Old Joy |
E843505
|
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: Old Joy | Statement: [Sam Levy, workedOn, Old Joy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Joy Context triple: [Sam Levy, workedOn, Old Joy]
-
A.
Old Joy
chosen
Old Joy is a 2006 American independent drama film directed by Kelly Reichardt, noted for its minimalist style and contemplative exploration of friendship and alienation.
-
B.
Old Friends
Old Friends is a nonfiction book by Tracy Kidder that intimately chronicles the lives, friendship, and daily experiences of two elderly men in a nursing home.
-
C.
Old Friends
"Old Friends" is a song featured on the album "Everyday Life," known for its reflective tone and themes of memory and enduring relationships.
-
D.
Old Friends
"Old Friends" is a reflective, melancholic song by Simon & Garfunkel that poignantly explores aging and the passage of time.
-
E.
Big Joy
Big Joy is a film celebrating the life and avant-garde artistic legacy of poet and filmmaker James Broughton.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f572348190bd7719805e257e03 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.