Triple
T8860879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Martino |
E210882
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Mary in the Morning |
E762175
|
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: Mary in the Morning | Statement: [Al Martino, notableSong, Mary in the Morning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary in the Morning Context triple: [Al Martino, notableSong, Mary in the Morning]
-
A.
Mary in the Morning
chosen
"Mary in the Morning" is a romantic pop song popularized by American singer Al Martino in the 1960s.
-
B.
Joy in the Morning
"Joy in the Morning" is a comic novel in P. G. Wodehouse’s Jeeves and Wooster series, featuring Bertie Wooster’s misadventures and the ingenious problem-solving of his valet Jeeves.
-
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.
Misty Morning
Misty Morning is a song by Jamaican reggae artist Kaya, known for its mellow, atmospheric sound and reflective mood.
-
E.
The Morning
"The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab8fef348190a25e978085e8e656 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:50 p.m.