Triple
T3108150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Jerome Blanc |
E64883
|
entity |
| Predicate | voicedCharacter |
P2000
|
FINISHED |
| Object | Dino |
E55800
|
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: Dino | Statement: [Melvin Jerome Blanc, voicedCharacter, Dino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dino Context triple: [Melvin Jerome Blanc, voicedCharacter, Dino]
-
A.
Dinos
Dinos is the collective name for the University of Calgary’s varsity athletic teams competing in Canadian university sports.
-
B.
Dug
Dug is the lovable, talking golden retriever from Pixar's animated film "Up," known for his collar that translates his thoughts into speech and his enthusiastic, friendly personality.
-
C.
Darvin
Darvin is a masculine given name most notably borne by former NBA player and current basketball coach Darvin Ham.
-
D.
Dino (The Flintstones)
chosen
Dino is the Flintstone family's playful, barking pet dinosaur from the animated television series "The Flintstones."
-
E.
Rex
Rex is the military working dog who partners with U.S. Marine Megan Leavey in the biographical war drama film "Megan Leavey."
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29eacc88190a19c5ca8e53e3dca |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2038c89248190b880108c82ad35b1 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.