Triple
T10677255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Godfather (film score) |
E251650
|
entity |
| Predicate | hasKeyTrack |
P9942
|
FINISHED |
| Object | The Pickup |
E624096
|
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: The Pickup | Statement: [The Godfather (film score), hasKeyTrack, The Pickup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Pickup Context triple: [The Godfather (film score), hasKeyTrack, The Pickup]
-
A.
The Pickup
chosen
The Pickup is a novel by South African writer and Nobel laureate Nadine Gordimer that explores themes of immigration, class, and cross-cultural relationships.
-
B.
Pickup
"Pickup" is a country-pop single by Canadian singer-songwriter MacKenzie Porter that helped raise her profile in contemporary country music.
-
C.
Pick It Up
"Pick It Up" is a song featured on Fergie's debut studio album "The Dutchess."
-
D.
Pick Up and Kill It
Pick Up and Kill It is a recurring freestyle rap battle segment on the improv comedy show Nick Cannon Presents: Wild 'N Out, where performers trade rapid-fire rhymes on a given topic.
-
E.
Showing Out
"Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb9563908190a69cf4bd2c24fd2f |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9887e974c81908c4943339ea9a93f |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:09 p.m.