Triple
T12414130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta Goodrem |
E296592
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wings
"Wings" is a pop song by Australian singer-songwriter Delta Goodrem, known for its uplifting lyrics and powerful vocal performance.
|
E980869
|
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: Wings | Statement: [Delta Goodrem, notableWork, Wings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wings Context triple: [Delta Goodrem, notableWork, Wings]
-
A.
Wings
Wings is an American sitcom that aired in the 1990s, centered on the lives and misadventures of staff at a small regional airline on Nantucket Island.
-
B.
Wings
"Wings" is a track from the Black Eyed Peas' concept album *Masters of the Sun Vol. 1*, blending hip hop with socially conscious themes.
-
C.
Wings
Wings is a 1927 silent World War I aviation film that became the first movie ever to win the Academy Award for Best Picture.
-
D.
Wings
Wings is a 1966 Soviet drama film directed by Larisa Shepitko that explores the postwar life and inner struggles of a former World War II fighter pilot turned school principal.
-
E.
Wings
Wings is a smokeless tobacco brand produced by the American Snuff Company.
- 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: Wings Triple: [Delta Goodrem, notableWork, Wings]
Generated description
"Wings" is a pop song by Australian singer-songwriter Delta Goodrem, known for its uplifting lyrics and powerful vocal performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wings Target entity description: "Wings" is a pop song by Australian singer-songwriter Delta Goodrem, known for its uplifting lyrics and powerful vocal performance.
-
A.
Wings
"Wings" is a folk-rock song by the Stone Poneys, best known for featuring Linda Ronstadt’s early vocals and helping launch her career.
-
B.
Wings
"Wings" is a track from the Black Eyed Peas' concept album *Masters of the Sun Vol. 1*, blending hip hop with socially conscious themes.
-
C.
Wings
Wings is a music production entity known for working on the track "Letting Go."
-
D.
Wings
Wings was a British-American rock band formed by Paul McCartney after The Beatles, known for hits like "Band on the Run" and "Live and Let Die."
-
E.
Wings
Wings is the short name of the Philadelphia Wings, a professional box lacrosse team based in Philadelphia.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348ccaf88190aeb0dfb7fe1d8dec |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f635997b088190b6207fcac5594eb2 |
completed | May 2, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d727a08190882eec3fd664b64d |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:55 p.m.