Triple
T4780598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Will Always Love You: The Best of Whitney Houston |
E106154
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | How Will I Know |
E9345
|
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: How Will I Know | Statement: [I Will Always Love You: The Best of Whitney Houston, hasPart, How Will I Know]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Will I Know Context triple: [I Will Always Love You: The Best of Whitney Houston, hasPart, How Will I Know]
-
A.
How Will I Know
chosen
"How Will I Know" is a 1985 upbeat pop and dance song by Whitney Houston that became one of her signature hits and helped establish her as a major international star.
-
B.
Now I Know
"Now I Know" is a song by Rihanna from her debut studio album, Music of the Sun.
-
C.
You’re the One Who Knows
"You’re the One Who Knows" is a song featured on the album *Simple Things*.
-
D.
If You Know You Know
"If You Know You Know" is a 2018 rap song by Pusha T, known for its minimalist Kanye West production and cryptic, reference-heavy lyricism about street life and success.
-
E.
I Want You to Know
"I Want You to Know" is a 2015 EDM-pop single by Zedd featuring Selena Gomez that became a commercial hit for its catchy, danceable production and emotive vocals.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65aa577c81909ec1b94e47810169 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43d371b081908142e6d66780e0f0 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:21 p.m.