Triple
T20042576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queers |
E497461
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Monster Zero |
—
|
NE NERFINISHED |
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: Monster Zero | Statement: [The Queers, hasSong, Monster Zero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monster Zero Context triple: [The Queers, hasSong, Monster Zero]
-
A.
Monster Zero
chosen
Monster Zero is an alternate name for King Ghidorah, the iconic three-headed dragon kaiju and one of Godzilla’s most powerful adversaries in the Godzilla franchise.
-
B.
Monster Zero Ultra
Monster Zero Ultra is a popular zero-sugar, low-calorie energy drink known for its light citrus flavor and high caffeine content.
-
C.
Back to Zero
"Back to Zero" is a song by The Rolling Stones from their 1986 album "Dirty Work."
-
D.
Dead Zero
Dead Zero is a thriller novel by Stephen Hunter featuring Marine sniper Bob Lee Swagger as he investigates a high-profile assassination plot.
-
E.
Sub Zero Project
Sub Zero Project is a Dutch hardstyle DJ and production duo known for their energetic, melodic tracks and festival-ready anthems in the electronic dance music scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ec9ae0819097032ff50d6215c2 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.