Triple
T11124972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrecking Ball |
E263110
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | song "Where Will I Be" |
E263138
|
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: song "Where Will I Be" | Statement: [Wrecking Ball, hasPart, song "Where Will I Be"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: song "Where Will I Be" Context triple: [Wrecking Ball, hasPart, song "Where Will I Be"]
-
A.
song "Will Not Lose"
"Will Not Lose" is a hip hop track featured on Talib Kweli's 2007 album "Eardrum."
-
B.
song "Be Here"
"Be Here" is a soulful R&B song by Raphael Saadiq, known for its smooth groove and retro-inspired production.
-
C.
song "I Will Wait for You"
"I Will Wait for You" is a famous, melancholic love song from the French musical film *The Umbrellas of Cherbourg*, composed by Michel Legrand with lyrics by Jacques Demy (and later English lyrics by Norman Gimbel).
-
D.
Where Will I Be
chosen
"Where Will I Be" is a song by American country and folk singer Emmylou Harris, known for its introspective lyrics and atmospheric, genre-blending production.
-
E.
song "Shall We Talk"
"Shall We Talk" is a widely acclaimed Cantonese pop ballad by Eason Chan that poignantly explores communication and emotional distance in relationships.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d89378c8190acc7afd1ecdbfbac |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.