Triple
T9967646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morpheus |
E195724
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Link |
E114496
|
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: Link | Statement: [Morpheus, allyOf, Link]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Link Context triple: [Morpheus, allyOf, Link]
-
A.
Link
Link is a TAG Heuer watch collection known for its distinctive S-shaped bracelet design and blend of sporty elegance.
-
B.
Link
Link is a core React Router component used to create navigational links in single-page React applications without triggering full page reloads.
-
C.
Link
chosen
Link is the heroic, green-clad protagonist of Nintendo’s The Legend of Zelda series, known for wielding the Master Sword and saving the kingdom of Hyrule.
-
D.
Princess Zelda
Princess Zelda is a central character in Nintendo’s The Legend of Zelda video game series, typically portrayed as the wise and powerful princess of Hyrule who aids the hero Link in protecting the realm from evil.
-
E.
Kamek
Kamek is a recurring Magikoopa villain in the Mario franchise, typically depicted as Bowser’s magical advisor and caretaker who uses powerful spells to hinder Mario and his allies.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23db701b881909bb986a32df4349b |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.