Triple
T9615951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlin |
E232218
|
entity |
| Predicate | notableQuote |
P492
|
FINISHED |
| Object | Nemo! |
E236492
|
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: Nemo! | Statement: [Marlin, notableQuote, Nemo!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nemo! Context triple: [Marlin, notableQuote, Nemo!]
-
A.
Nemo
chosen
Nemo is the young, adventurous clownfish protagonist of Pixar's animated film "Finding Nemo."
-
B.
Nemo
Nemo is a graphical file manager for the Cinnamon desktop environment, known for its user-friendly interface and integration with Linux Mint.
-
C.
Nemo
Nemo is the Latin word for "no one" or "nobody," often used as a name in literature and popular culture, most famously for Captain Nemo in Jules Verne’s novels.
-
D.
Finding Nemo
Finding Nemo is a 2003 computer-animated adventure film about a clownfish’s ocean-spanning quest to rescue his captured son, widely acclaimed for its storytelling, visuals, and emotional depth.
-
E.
The Seas with Nemo & Friends
The Seas with Nemo & Friends is an ocean-themed pavilion and attraction at EPCOT that combines characters from Disney-Pixar’s Finding Nemo with one of the world’s largest saltwater aquariums.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aad71a0819084ea00c2409e9922 |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189f4e994819088c55856bf79621d |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:09 p.m.