Triple
T15349506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Live Love |
E367012
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | OK |
E448209
|
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: OK | Statement: [Long Live Love, hasPart, OK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OK Context triple: [Long Live Love, hasPart, OK]
-
A.
OK
OK is the official two-letter United States Postal Service abbreviation for the state of Oklahoma.
-
B.
OK
chosen
"OK" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
-
C.
OK
OK is the station code assigned to Oakton–Skokie station on the Chicago Transit Authority’s Yellow Line.
-
D.
Okay
Okay is a small town in Wagoner County, Oklahoma, known for its rural character and tight-knit community.
-
E.
Okay
"Okay" is a popular Afrobeats song by Nigerian singer Adekunle Gold, known for its smooth blend of highlife influences and introspective, uplifting lyrics.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.