Triple
T22141787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation: Get Down |
E547175
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | track "What I Need" |
—
|
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: track "What I Need" | Statement: [Operation: Get Down, hasPart, track "What I Need"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: track "What I Need" Context triple: [Operation: Get Down, hasPart, track "What I Need"]
-
A.
What I Need
chosen
"What I Need" is a song released as the follow-up single to One Wish.
-
B.
Something I Need
"Something I Need" is a pop-rock song by OneRepublic from their 2013 album "Native," known for its uplifting melody and themes of love and gratitude.
-
C.
If That's What You Need
"If That's What You Need" is a song by the English rock band Genesis from their 1997 studio album "Calling All Stations."
-
D.
I Don't Need That
"I Don't Need That" is an R&B song by the American girl group Kima, Keisha & Pam, known from the platinum-selling group Total.
-
E.
I Know What You Need
"I Know What You Need" is a psychological horror short story by Stephen King about a college student who discovers the dark, supernatural source of her seemingly perfect boyfriend’s ability to anticipate her desires.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129beb6c8819083be3b7479bc032f |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.