Triple
T13056936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here I Stand |
E327602
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Here I Stand (song) |
E327602
|
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: Here I Stand (song) | Statement: [Here I Stand, notableSingle, Here I Stand (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Here I Stand (song) Context triple: [Here I Stand, notableSingle, Here I Stand (song)]
-
A.
Here I Stand
chosen
"Here I Stand" is a 2008 R&B album by American singer Usher that showcases a more mature, personal phase in his music career.
-
B.
On These I Stand
On These I Stand is a posthumous collection of poems by Harlem Renaissance poet Countee Cullen that showcases his lyrical style, racial themes, and classical influences.
-
C.
Where You Stand
"Where You Stand" is a 2013 studio album by Scottish rock band Travis, marking their return after a five-year recording hiatus.
-
D.
From Where I Stand
From Where I Stand is a photography book by Mary McCartney showcasing her distinctive, intimate portrait and documentary images.
-
E.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bd305c8190bcf191b2d35ec8de |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5ff8c308190a40274c68a1c5da3 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:58 p.m.