Triple
T4829902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whaam! |
E107918
|
entity |
| Predicate | hasText |
P7166
|
FINISHED |
| Object | WHAAM! |
E107918
|
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: WHAAM! | Statement: [Whaam!, hasText, WHAAM!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WHAAM! Context triple: [Whaam!, hasText, WHAAM!]
-
A.
Whaam!
chosen
Whaam! is a famous 1963 pop art painting by Roy Lichtenstein that depicts a stylized fighter jet shooting down an enemy plane in a comic book-inspired format.
-
B.
Tattoo You
"Tattoo You" is a 1981 studio album by the Rolling Stones, best known for the hit single "Start Me Up" and often regarded as one of their last classic releases.
-
C.
Raising Hell
Raising Hell is a landmark 1986 hip-hop album by Run-D.M.C. that helped bring rap music into the mainstream and solidified the genre’s commercial and cultural impact.
-
D.
Send in the Clowns
"Send in the Clowns" is a reflective ballad from the 1973 musical *A Little Night Music* that became one of Stephen Sondheim’s most famous and frequently recorded songs.
-
E.
Thunderdome
Thunderdome is a famous indoor sports and entertainment arena best known as the home venue for the University of Florida’s basketball teams.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc66c488190a49052e32411dc4b |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd0bf7c8190a11065bb61def18e |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.