Triple
T6291310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Carter |
E141024
|
entity |
| Predicate | hasPart |
P35
|
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: [Tha Carter, hasPart, On My Own]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: On My Own Context triple: [Tha Carter, hasPart, 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5197f0f9c81909f5b6de50e61560c |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.