Triple
T16279078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Ray |
E395215
|
entity |
| Predicate | student |
P7251
|
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: [Mr. Ray, student, Nemo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nemo Context triple: [Mr. Ray, student, Nemo]
-
A.
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.
-
B.
Nemo
chosen
Nemo is the young, adventurous clownfish protagonist of Pixar's animated film "Finding Nemo."
-
C.
Nemo
Nemo is a graphical file manager for the Cinnamon desktop environment, known for its user-friendly interface and integration with Linux Mint.
-
D.
Marlin
Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
-
E.
NEMO
NEMO is the national agency responsible for coordinating disaster preparedness, response, and emergency management in Saint Vincent and the Grenadines.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24610908c8190921e507dcb4d8250 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c48e5c8190a387a4158362417a |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.