Triple
T16437266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flesh & Blood |
E399208
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Heart of Stone |
E511858
|
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: Heart of Stone | Statement: [Flesh & Blood, hasTrack, Heart of Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heart of Stone Context triple: [Flesh & Blood, hasTrack, Heart of Stone]
-
A.
Heart of Stone
chosen
"Heart of Stone" is a song featured on the album "Gone."
-
B.
Heart of Stone
Heart of Stone is a 2023 action spy thriller film starring Gal Gadot as a covert intelligence operative embroiled in a high-stakes global conspiracy.
-
C.
Hearts of Stone
Hearts of Stone is a song featured on Los Lobos' album "Good Morning Aztlán."
-
D.
Heart of Fire
"Heart of Fire" is a high-energy hard rock/metal song by Black Veil Brides known for its anthemic chorus and themes of resilience and inner strength.
-
E.
Heart of Fire
Heart of Fire is another name for R’hllor, the fiery deity of light, heat, and life worshipped in the world of A Song of Ice and Fire.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458b91bc8190b40af99faf5e74ab |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.