Triple
T11333377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Gonna Get It! |
E268404
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Need to Know |
E477267
|
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: I Need to Know | Statement: [You're Gonna Get It!, hasPart, I Need to Know]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Need to Know Context triple: [You're Gonna Get It!, hasPart, I Need to Know]
-
A.
I Need to Know
chosen
"I Need to Know" is a 1978 rock song by Tom Petty and the Heartbreakers, released as a single from their second album "You're Gonna Get It!".
-
B.
“I Need to Know”
"I Need to Know" is a 1999 Latin pop and salsa-infused hit single by Marc Anthony that helped establish his mainstream crossover success in the English-language market.
-
C.
What I Need
"What I Need" is a song released as the follow-up single to One Wish.
-
D.
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.
-
E.
I Know
"I Know" is a song by Big Sean featuring Jhené Aiko from his 2015 studio album Dark Sky Paradise.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263160548190adb7d5c0fd6af0e2 |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:33 p.m.