Triple
T16879967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hello Nasty |
E421390
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Unite |
E1103379
|
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: Unite | Statement: [Hello Nasty, hasPart, Unite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unite Context triple: [Hello Nasty, hasPart, Unite]
-
A.
UNITE
UNITE was a North American labor union representing workers in the needle trades, industrial, and textile sectors before later merging into UNITE HERE.
-
B.
Unite the Union
Unite the Union is one of the largest trade unions in the United Kingdom and Ireland, representing workers across multiple industries and playing a major role in labor rights and collective bargaining.
-
C.
Unify
Unify is a funk and soul-infused studio album by the American jazz-funk band Lettuce, showcasing their tight grooves and horn-driven sound.
-
D.
Unite (song)
chosen
"Unite" is a song by Japanese singer Ayumi Hamasaki, featured on her 2001 studio album "I am...."
-
E.
UNITED
UNITED is the radio callsign used by pilots and air traffic control to identify and communicate with United Airlines flights.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fa96588190837777c401880cb3 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b8fcf081908898f5589b2455ce |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.