Triple
T14658908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Morning Aztlán |
E344182
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hearts of Stone
Hearts of Stone is a song featured on Los Lobos' album "Good Morning Aztlán."
|
E1112277
|
NE FINISHED |
How this triple was built (4 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: Hearts of Stone | Statement: [Good Morning Aztlán, hasPart, Hearts of Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hearts of Stone Context triple: [Good Morning Aztlán, hasPart, Hearts of Stone]
-
A.
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.
-
B.
Heart of Stone
"Heart of Stone" is a song featured on the album "Gone."
-
C.
The First Stone
The First Stone is a controversial non-fiction book by Australian writer Helen Garner that examines a 1990s sexual harassment case at an elite Melbourne university college and sparked intense public debate about feminism and victimhood.
-
D.
Stone to the Bone
"Stone to the Bone" is a funk track by James Brown featured on his influential 1973 album *The Payback*.
-
E.
Foundation of Hearts
Foundation of Hearts is a fan-owned organization that holds and safeguards the majority ownership of Scottish football club Heart of Midlothian, representing the club’s supporters in its governance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hearts of Stone Triple: [Good Morning Aztlán, hasPart, Hearts of Stone]
Generated description
Hearts of Stone is a song featured on Los Lobos' album "Good Morning Aztlán."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hearts of Stone Target entity description: Hearts of Stone is a song featured on Los Lobos' album "Good Morning Aztlán."
-
A.
Heart of Stone
"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.
The First Stone
The First Stone is a controversial non-fiction book by Australian writer Helen Garner that examines a 1990s sexual harassment case at an elite Melbourne university college and sparked intense public debate about feminism and victimhood.
-
D.
Stone to the Bone
"Stone to the Bone" is a funk track by James Brown featured on his influential 1973 album *The Payback*.
-
E.
Foundation of Hearts
Foundation of Hearts is a fan-owned organization that holds and safeguards the majority ownership of Scottish football club Heart of Midlothian, representing the club’s supporters in its governance.
- F. None of above. chosen
Provenance (5 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e01cd081909c71fdcf67c3b1f5 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd65a6c24819088fb18ffcdfe6404 |
completed | May 8, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd6f172288190ba7097518b1a971e |
completed | May 8, 2026, 12:28 p.m. |
Created at: April 10, 2026, 1:27 a.m.