Triple
T2622360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding Nemo: The Big Blue... and Beyond! |
E59036
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Marlin |
E232218
|
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: Marlin | Statement: [Finding Nemo: The Big Blue... and Beyond!, featuresCharacter, Marlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlin Context triple: [Finding Nemo: The Big Blue... and Beyond!, featuresCharacter, Marlin]
-
A.
Marlin
chosen
Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
-
B.
Billy the Marlin
Billy the Marlin is the colorful, anthropomorphic marlin who serves as the energetic official mascot of Major League Baseball’s Miami Marlins.
-
C.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
D.
Barracuda
Barracuda is Seagate Technology’s long-running family of consumer and desktop hard disk drives known for high capacity and mainstream performance.
-
E.
Nemo
Nemo is the young, adventurous clownfish protagonist of Pixar's animated film "Finding Nemo."
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8adab148190af26ede359dd739d |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af909918b88190905df6637ec0e412 |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.