Triple
T7692507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Could Have It So Much Better |
E174282
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Nick McCarthy |
E686083
|
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: Nick McCarthy | Statement: [You Could Have It So Much Better, performer, Nick McCarthy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick McCarthy Context triple: [You Could Have It So Much Better, performer, Nick McCarthy]
-
A.
Nick McCarthy
chosen
Nick McCarthy is a German-born British musician best known as the guitarist and co-songwriter for the indie rock band Franz Ferdinand.
-
B.
Mark McDermott
Mark McDermott is a person notable enough to be specifically distinguished from others sharing the McDermott surname.
-
C.
Tom McGrath
Tom McGrath is an American animator, voice actor, and film director best known for co-creating and directing the Madagascar film series and directing the animated feature Megamind.
-
D.
Kevin McLaughlin
Kevin McLaughlin is a literary scholar and translator known for his English translation of Walter Benjamin’s "The Arcades Project."
-
E.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7024481448190b32ba04e8792f15a |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7b8b1fc8190a3c81c0ee018bb97 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:02 p.m.