Triple
T20201153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears for Fears (touring band) |
E493218
|
entity |
| Predicate | performsSong |
P11145
|
FINISHED |
| Object | Shout (live) |
—
|
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: Shout (live) | Statement: [Tears for Fears (touring band), performsSong, Shout (live)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shout (live) Context triple: [Tears for Fears (touring band), performsSong, Shout (live)]
-
A.
Shout It Out
Shout It Out is a pop-rock studio album by American band Hanson, known for its upbeat, soulful sound and horn-driven arrangements.
-
B.
Shout It Out Loud
"Shout It Out Loud" is a high-energy hard rock anthem by the American band Kiss, celebrated as one of their signature crowd-pleasing songs.
-
C.
Shout
Shout is a household cleaning brand best known for its stain-removal products for laundry and fabrics.
-
D.
Shout
Shout is a film written by Joe Gayton, best known as a rock-and-roll–infused drama set in the 1950s about a rebellious music teacher who transforms a small-town Texas boys’ school.
-
E.
Shout
chosen
"Shout" is a classic 1959 rhythm and blues song by The Isley Brothers that became an enduring party anthem and pop culture staple.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8e0df481909c030e2a01d1862a |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.