Triple
T8889922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Zone |
E211636
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Showdown
"Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
|
E764435
|
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: Showdown | Statement: [In the Zone, track, Showdown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Showdown Context triple: [In the Zone, track, Showdown]
-
A.
Showdown
Showdown is a climactic segment or episode within "The E.N.D." that serves as a decisive confrontation or resolution point in the work’s narrative.
-
B.
Showdown
Showdown is the fiercely contested Australian Football League derby between the Port Adelaide Football Club and the Adelaide Crows.
-
C.
Border Showdown
Border Showdown is the intense college football rivalry game between the University of Missouri Tigers and the University of Kansas Jayhawks.
-
D.
The Knockout
"The Knockout" is a 1914 silent comedy film best known for featuring early screen appearances by Charlie Chaplin and Roscoe "Fatty" Arbuckle.
-
E.
The Rivalry
The Rivalry is the historic college football series between Lafayette College and Lehigh University, recognized as one of the oldest and most frequently played rivalries in American football.
- 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: Showdown Triple: [In the Zone, track, Showdown]
Generated description
"Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Showdown Target entity description: "Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
-
A.
Showdown
Showdown is a climactic segment or episode within "The E.N.D." that serves as a decisive confrontation or resolution point in the work’s narrative.
-
B.
Showdown
Showdown is the fiercely contested Australian Football League derby between the Port Adelaide Football Club and the Adelaide Crows.
-
C.
Border Showdown
Border Showdown is the intense college football rivalry game between the University of Missouri Tigers and the University of Kansas Jayhawks.
-
D.
The Knockout
"The Knockout" is a 1914 silent comedy film best known for featuring early screen appearances by Charlie Chaplin and Roscoe "Fatty" Arbuckle.
-
E.
The Rivalry
The Rivalry is the historic college football series between Lafayette College and Lehigh University, recognized as one of the oldest and most frequently played rivalries in American football.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618f94108190b03248832bfe68a9 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabe955e08190a8d61cfaa2d52731 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfacd755f88190bfe301e84c8a5350 |
completed | April 3, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad5739448190886e8bf47623862b |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.