Triple
T3498307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Levinson |
E73903
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Diner |
E356990
|
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: Diner | Statement: [Barry Levinson, notableWork, Diner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diner Context triple: [Barry Levinson, notableWork, Diner]
-
A.
Diner
chosen
Diner is a 1982 American coming-of-age comedy-drama film directed by Barry Levinson that follows a group of friends reuniting in 1959 Baltimore as they navigate adulthood, relationships, and changing times.
-
B.
Mel’s Diner
Mel’s Diner is a retro-themed American restaurant styled after a classic 1950s diner, known for serving burgers, fries, and milkshakes in a nostalgic setting.
-
C.
Dockside Diner
Dockside Diner is a casual, retro-themed quick-service restaurant located on the shores of Echo Lake in Disney’s Hollywood Studios.
-
D.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
-
E.
Encounter Restaurant
Encounter Restaurant was a futuristic-themed dining venue located inside Los Angeles International Airport’s iconic Theme Building, known for its space-age design and panoramic views.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd299ec8190b76b165b2fd70537 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d2ef9c819087458a0ac02d4596 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.