Triple
T17350418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Another Picture |
E421794
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Take Me to Heart |
E421799
|
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: Take Me to Heart | Statement: [Take Another Picture, hasTrack, Take Me to Heart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take Me to Heart Context triple: [Take Another Picture, hasTrack, Take Me to Heart]
-
A.
Take Me to Heart
chosen
"Take Me to Heart" is a 1983 pop-rock song by the American band Quarterflash, known for its saxophone-driven sound and emotive vocals.
-
B.
Where My Heart Will Take Me
"Where My Heart Will Take Me" is a pop-rock ballad performed by Russell Watson, best known as the main title theme song for the television series Star Trek: Enterprise.
-
C.
Open My Heart
Open My Heart is an independent Italian drama film written and directed by Giada Colagrande, known for its intimate, minimalist style and exploration of complex emotional relationships.
-
D.
Open My Heart
"Open My Heart" is a widely acclaimed contemporary gospel song by Yolanda Adams known for its soulful plea for spiritual guidance and emotional healing.
-
E.
Take Me
"Take Me" is a 2017 dark comedy film about a struggling entrepreneur who runs a simulated kidnapping service that spirals out of control when he takes on an unusually mysterious client.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2bd0a881909e71c89773d9273c |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195585e5881909b0ad386b65112ba |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.