Triple
T20728819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Gaxton |
E509511
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Anything Goes |
—
|
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: Anything Goes | Statement: [William Gaxton, notableWork, Anything Goes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anything Goes Context triple: [William Gaxton, notableWork, Anything Goes]
-
A.
Anything Goes
chosen
"Anything Goes" is a classic 1934 Broadway musical by Cole Porter, celebrated for its witty lyrics, memorable songs, and farcical romantic plot set aboard an ocean liner.
-
B.
Anything Goes
"Anything Goes" is the second studio album by American country duo Florida Georgia Line, known for its blend of bro-country, pop, and rock influences.
-
C.
Anything Goes
"Anything Goes" is a song featured on the album "Black Ice" by Australian rock band AC/DC.
-
D.
Anything Goes
"Anything Goes" is a notable hip-hop track by Los Angeles rapper Ras Kass, showcasing his complex lyricism and socially conscious themes.
-
E.
Anything Goes
"Anything Goes" is a country music album by American singer Gary Morris, showcasing his smooth vocal style and emotive balladry.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1eb5d44819082d9fa410e676d91 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.