Triple
T12612658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Only Had a Heart |
E301165
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | If I Only Had a Heart |
E301165
|
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: If I Only Had a Heart | Statement: [If I Only Had a Heart, title, If I Only Had a Heart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I Only Had a Heart Context triple: [If I Only Had a Heart, title, If I Only Had a Heart]
-
A.
If I Only Had a Heart
chosen
"If I Only Had a Heart" is a classic song from the 1939 film *The Wizard of Oz*, sung by the Tin Man and renowned for its wistful melody and lyrics about longing for human emotion.
-
B.
Without My Heart
"Without My Heart" is an episode of the fantasy drama television series "Once Upon a Time."
-
C.
I Don’t Have the Heart
"I Don’t Have the Heart" is a pop ballad best known as a 1990 hit single for singer James Ingram.
-
D.
If You Had My Love
"If You Had My Love" is the debut single by Jennifer Lopez, a late-1990s pop and R&B hit that launched her successful music career.
-
E.
If My Heart Had Wings
If My Heart Had Wings is a Japanese visual novel known for its emotional coming-of-age story centered on youth, dreams, and aviation.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954eaf8d08190a06abb6918253acd |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed1044c8190bbe881d32a4bf29e |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:12 p.m.