Triple
T22171134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Superhits! |
E547920
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Maria
"Maria" is a punk rock song by Green Day featured on their greatest hits compilation album International Superhits!.
|
E1523188
|
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: Maria | Statement: [International Superhits!, hasTrack, Maria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Context triple: [International Superhits!, hasTrack, Maria]
-
A.
Maria
Maria is an Italian woman best known as the younger sister of actress Sophia Loren and the former wife of film producer Romano Mussolini.
-
B.
Maria
Maria is a feminine given name of Hebrew origin, widely used across many cultures and languages.
-
C.
Maria
Maria is a character in the period drama film "Stage Beauty," which explores gender roles and the world of 17th-century English theatre.
-
D.
Maria
Maria is a witty and sharp-tongued lady-in-waiting to the Princess of France in William Shakespeare’s comedy "Love's Labour's Lost."
-
E.
Maria
Maria Vladimirovna Dolgorukova was a Russian noblewoman from the prominent Dolgorukov family, known historically as the first wife of Tsar Michael I of Russia.
- 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: Maria Triple: [International Superhits!, hasTrack, Maria]
Generated description
"Maria" is a punk rock song by Green Day featured on their greatest hits compilation album International Superhits!.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Target entity description: "Maria" is a punk rock song by Green Day featured on their greatest hits compilation album International Superhits!.
-
A.
Maria
Maria is a track on Rage Against the Machine’s 2000 album "The Battle of Los Angeles," known for its politically charged lyrics and aggressive rap metal sound.
-
B.
Maria
"Maria" is a popular song by the California-based jam band Animal Liberation Orchestra, known for its laid-back groove and melodic, feel-good style.
-
C.
Maria
"Maria" is the iconic, optimistic song from the musical *The Sound of Music*, in which the nuns describe the spirited and unconventional nature of Maria Rainer.
-
D.
Maria
Maria is the given name of American singer-songwriter Maria McKee, known for her work as a solo artist and as the lead singer of the band Lone Justice.
-
E.
Maria
Maria is the young Puerto Rican woman at the heart of the musical "West Side Story," whose forbidden romance with Tony drives the story’s modern retelling of "Romeo and Juliet."
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ec2bb908190b6f1dbffd753f1e6 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9f9075e48190a7f9785fdcc0b5b6 |
completed | May 18, 2026, 5:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa03a8e0c819089dc48473b5b743c |
completed | May 18, 2026, 5:14 a.m. |
Created at: April 16, 2026, 8:34 p.m.