Triple
T2678552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebby Calvin "Nuke" LaLoosh |
E56517
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Nuke |
E286713
|
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: Nuke | Statement: [Ebby Calvin "Nuke" LaLoosh, hasNickname, Nuke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuke Context triple: [Ebby Calvin "Nuke" LaLoosh, hasNickname, Nuke]
-
A.
Nuke
chosen
Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
-
B.
Nuk
Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
-
C.
D Reactor
D Reactor was one of the early plutonium production reactors at the Hanford Site in Washington, built during the Manhattan Project to support the U.S. nuclear weapons program.
-
D.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
E.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d141888190bbd63e7a2b970fa0 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0681f3c8190898e58f3138b16fa |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.