Triple
T9853975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan & Naomi |
E239538
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Alan and Naomi |
E239538
|
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: Alan and Naomi | Statement: [Alan & Naomi, basedOn, Alan and Naomi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan and Naomi Context triple: [Alan & Naomi, basedOn, Alan and Naomi]
-
A.
Alan & Naomi
chosen
Alan & Naomi is a 1992 drama film about a traumatized Holocaust survivor and a Brooklyn boy who forms an unlikely friendship with her in post–World War II New York.
-
B.
Marie and Bruce
Marie and Bruce is a darkly comic play by Wallace Shawn that explores the disintegration of a troubled marriage through sharp, absurdist dialogue.
-
C.
Naomi Nelson
Naomi Nelson is an American filmmaker and producer best known for her work in television and her marriage to actor and stunt performer Johnny Knoxville.
-
D.
Naomi Lange
Naomi Lange is known as the wife of former New Zealand Prime Minister David Lange.
-
E.
Tony and Maria
Tony and Maria are the star-crossed lovers from the musical "West Side Story," whose relationship drives the central romantic and tragic plot.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5f21a04819099f23ede55ec3417 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.