Triple
T10648148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea Salonga |
E250889
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | On My Own |
E127513
|
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: On My Own | Statement: [Lea Salonga, notableSong, On My Own]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: On My Own Context triple: [Lea Salonga, notableSong, On My Own]
-
A.
On My Own
"On My Own" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
-
B.
On My Own
"On My Own" is a song by the American hip hop group Consequence, known for its introspective lyrics and connection to the broader Kanye West–affiliated rap scene.
-
C.
On My Own
"On My Own" is a 1986 pop-R&B ballad performed by Patti LaBelle and Michael McDonald that became one of LaBelle's signature solo hits.
-
D.
On My Own
"On My Own" is a memoir by Eleanor Roosevelt in which she reflects on her life and public service following the death of President Franklin D. Roosevelt.
-
E.
On My Own
chosen
"On My Own" is a poignant solo ballad from the musical Les Misérables, sung by the character Éponine as she expresses her unrequited love and loneliness.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe29b8081908eb13637e0475ba1 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a60fdd881908987f920a19bb41e |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:05 p.m.