Triple
T16672197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who We Are |
E405131
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Who We Are (song) |
E344636
|
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: Who We Are (song) | Statement: [Who We Are, hasPart, Who We Are (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Who We Are (song) Context triple: [Who We Are, hasPart, Who We Are (song)]
-
A.
Who We Are
"Who We Are" is a studio album by American rock band Lifehouse that showcases their melodic post-grunge and alternative rock sound.
-
B.
Who We Are
chosen
"Who We Are" is a song featured as a component of the musical work "All of Me."
-
C.
There We Are
"There We Are" is a song by American singer-songwriter JT, likely featured on one of his music releases.
-
D.
Here We Are
"Here We Are" is a song by Gloria Estefan that appears in the jukebox musical On Your Feet!, which tells the story of her life and career.
-
E.
We Are Who We Are
We Are Who We Are is a coming-of-age television drama series that follows two American teenagers on a U.S. military base in Italy as they explore identity, friendship, and sexuality.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.