Triple
T7563908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenny |
E178861
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
God Save Us All
"God Save Us All" is a song by American rock musician Lenny Kravitz.
|
E674050
|
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: God Save Us All | Statement: [Lenny, hasPart, God Save Us All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: God Save Us All Context triple: [Lenny, hasPart, God Save Us All]
-
A.
God Save the Queen
"God Save the Queen" is a landmark 1977 punk rock single by the Sex Pistols that became infamous for its anti-establishment lyrics and controversy surrounding the British monarchy.
-
B.
God Save the King
"God Save the King" is the national anthem of the United Kingdom, traditionally performed at official ceremonies and royal events to honor the reigning monarch.
-
C.
Hail Holy Queen
"Hail Holy Queen" is a traditional Catholic Marian hymn that gained renewed popular recognition through its lively choral performance in the film *Sister Act*.
-
D.
May We All
May We All is a country song by Florida Georgia Line featuring Tim McGraw that reflects on small-town roots and nostalgia.
-
E.
Heaven Help Us All
"Heaven Help Us All" is a socially conscious soul song written by Ron Miller and most famously recorded by Stevie Wonder in 1970.
- 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: God Save Us All Triple: [Lenny, hasPart, God Save Us All]
Generated description
"God Save Us All" is a song by American rock musician Lenny Kravitz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: God Save Us All Target entity description: "God Save Us All" is a song by American rock musician Lenny Kravitz.
-
A.
God Save the Queen
"God Save the Queen" is a landmark 1977 punk rock single by the Sex Pistols that became infamous for its anti-establishment lyrics and controversy surrounding the British monarchy.
-
B.
God Save the King
"God Save the King" is the national anthem of the United Kingdom, traditionally performed at official ceremonies and royal events to honor the reigning monarch.
-
C.
Hail Holy Queen
"Hail Holy Queen" is a traditional Catholic Marian hymn that gained renewed popular recognition through its lively choral performance in the film *Sister Act*.
-
D.
May We All
May We All is a country song by Florida Georgia Line featuring Tim McGraw that reflects on small-town roots and nostalgia.
-
E.
Heaven Help Us All
"Heaven Help Us All" is a socially conscious soul song written by Ron Miller and most famously recorded by Stevie Wonder in 1970.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fb1c00819096bdb73334d8d72e |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d8206081909987556fb6ab7084 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85918e70481908502cb86a31edc14 |
completed | March 28, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85982256081908263d5f25c6e99b5 |
completed | March 28, 2026, 10:43 p.m. |
Created at: March 27, 2026, 3:50 p.m.