Triple
T23241112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go D.J. |
E581445
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | Universal |
—
|
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: Universal | Statement: [Go D.J., labelImprint, Universal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universal Context triple: [Go D.J., labelImprint, Universal]
-
A.
Universal
Universal is a major entertainment brand best known for its global theme parks, resorts, and immersive attractions based on popular films and franchises.
-
B.
Universal
chosen
Universal is a major global entertainment company best known for its influential film studio and music distribution operations.
-
C.
Universal-International
Universal-International was a major mid-20th-century American film studio formed by the merger of Universal Pictures and International Pictures, known for producing a wide range of Hollywood features during the 1940s and 1950s.
-
D.
Worldwide
"Worldwide" is a pop ballad by the American boy band Big Time Rush, known for its emotional lyrics and prominent feature in their TV series.
-
E.
Worldwide
Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192edd974819093a57456e7b12a03 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.