Triple
T12197292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wrong Box |
E290619
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Nanette Newman |
E579660
|
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: Nanette Newman | Statement: [The Wrong Box, castMember, Nanette Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanette Newman Context triple: [The Wrong Box, castMember, Nanette Newman]
-
A.
Nanette Newman
chosen
Nanette Newman is an English actress and author known for her roles in British cinema and television from the 1950s onward, as well as for her long collaboration with director Bryan Forbes.
-
B.
Leslie Newman
Leslie Newman is a screenwriter best known for co-writing several of the Christopher Reeve-era Superman films, including Superman III.
-
C.
Noreen Nash
Noreen Nash was an American film actress who appeared in numerous Hollywood productions during the 1940s and 1950s.
-
D.
Lila Norcross
Lila Norcross is a central protagonist in Stephen King and Owen King’s novel "Sleeping Beauties," serving as a key figure navigating the chaos that erupts when women around the world fall into a mysterious sleep.
-
E.
Jane Froman
Jane Froman was an American singer and actress popular from the 1930s to the 1950s, known for her radio, stage, and film performances as well as her resilience after surviving a devastating plane crash.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c56b4d88190b6a32baff3375dc4 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a8a681c8190898113d359bf9d3a |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:50 p.m.