Triple
T11982379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinderella II: Dreams Come True |
E285192
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Tom Rogers |
E681731
|
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: Tom Rogers | Statement: [Cinderella II: Dreams Come True, writer, Tom Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Rogers Context triple: [Cinderella II: Dreams Come True, writer, Tom Rogers]
-
A.
Tom Rogers
chosen
Tom Rogers is an American screenwriter best known for his work on animated films and television, including Disney projects such as The Lion King 1½.
-
B.
Matt Roberts
Matt Roberts was an American guitarist best known as a founding member of the rock band 3 Doors Down.
-
C.
Eric Rogers
Eric Rogers was a British composer and conductor best known for scoring many of the "Carry On" comedy films.
-
D.
Matt Rogers
Matt Rogers is an American entrepreneur and engineer best known as the co-founder of Nest Labs, the smart home technology company behind the Nest Thermostat.
-
E.
Dan Tucker
Dan Tucker is the titular, comical protagonist of the 19th-century American minstrel song "Old Dan Tucker," often depicted as a boisterous, rustic figure.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4721913108190bd767c671f6484de |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.