Triple
T12087210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Johnson |
E287836
|
entity |
| Predicate | work |
P12692
|
FINISHED |
| Object | "Hello Mary Lou" |
E54652
|
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: "Hello Mary Lou" | Statement: [Joe Johnson, work, "Hello Mary Lou"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Hello Mary Lou" Context triple: [Joe Johnson, work, "Hello Mary Lou"]
-
A.
Hello Mary Lou
chosen
"Hello Mary Lou" is a popular 1961 rock and roll song recorded by Ricky Nelson that became one of his signature hits.
-
B.
Mary Lou's Mass
Mary Lou's Mass is a groundbreaking jazz liturgical composition by pianist and composer Mary Lou Williams that blends sacred Catholic mass texts with modern jazz idioms.
-
C.
Mary’s Song
"Mary’s Song" is a contemplative poem by Sylvia Plath that juxtaposes the serenity of a winter landscape with themes of sacrifice and suffering.
-
D.
Mary in the Morning
"Mary in the Morning" is a romantic pop song popularized by American singer Al Martino in the 1960s.
-
E.
"Mornin'"
"Mornin'" is a smooth jazz and R&B song by Al Jarreau, best known for its upbeat, feel-good vibe and signature vocal style.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91514c78c8190bc1cd569e524e8b4 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f668eff88190877ce9bb991c1258 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.