Triple
T13373559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Do Broken Hearts Go |
E319125
|
entity |
| Predicate | includedInAlbum |
P1925
|
FINISHED |
| Object | Whitney |
E150871
|
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: Whitney | Statement: [Where Do Broken Hearts Go, includedInAlbum, Whitney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitney Context triple: [Where Do Broken Hearts Go, includedInAlbum, Whitney]
-
A.
Whitney
"Whitney" is a documentary film about the life, career, and struggles of legendary singer Whitney Houston.
-
B.
Whitney
Whitney is a common English surname most famously associated with Eli Whitney, the American inventor of the cotton gin.
-
C.
Whitney
Whitney is an unincorporated community and census-designated place in the Las Vegas Valley of Clark County, Nevada.
-
D.
Whitney
chosen
Whitney is the multi-platinum 1987 studio album by Whitney Houston that solidified her status as a global pop and R&B superstar.
-
E.
Whitney
"Whitney" is an American sitcom starring comedian Whitney Cummings that aired on NBC in the early 2010s.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306a4c688190bfbf5e695b2fd5e5 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:33 p.m.