Triple
T3705075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K Records |
E80871
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object |
Tiger Trap
Tiger Trap was an early 1990s American indie pop band associated with the twee pop scene and known for their melodic, lo-fi sound.
|
E383040
|
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: Tiger Trap | Statement: [K Records, hasArtist, Tiger Trap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiger Trap Context triple: [K Records, hasArtist, Tiger Trap]
-
A.
The Tender Trap
The Tender Trap is a 1955 romantic comedy film starring Frank Sinatra and Debbie Reynolds, adapted from the Broadway play of the same name.
-
B.
The Steel Trap
The Steel Trap is a 1952 American crime thriller film starring Joseph Cotten as a bank employee who devises a plan to steal money and flee the country.
-
C.
Tigers of Shanghai
Tigers of Shanghai is a professional esports team associated with the Gen.G organization, known for competing in high-level competitive gaming tournaments.
-
D.
Tigerland
Tigerland is a 2000 war drama film directed by Joel Schumacher that helped launch Colin Farrell to wider recognition through his acclaimed leading performance.
-
E.
Save the Tiger
Save the Tiger is a 1973 American drama film starring Jack Lemmon as a troubled businessman facing a midlife and moral crisis.
- 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: Tiger Trap Triple: [K Records, hasArtist, Tiger Trap]
Generated description
Tiger Trap was an early 1990s American indie pop band associated with the twee pop scene and known for their melodic, lo-fi sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiger Trap Target entity description: Tiger Trap was an early 1990s American indie pop band associated with the twee pop scene and known for their melodic, lo-fi sound.
-
A.
The Tender Trap
The Tender Trap is a 1955 romantic comedy film starring Frank Sinatra and Debbie Reynolds, adapted from the Broadway play of the same name.
-
B.
The Steel Trap
The Steel Trap is a 1952 American crime thriller film starring Joseph Cotten as a bank employee who devises a plan to steal money and flee the country.
-
C.
Tigers of Shanghai
Tigers of Shanghai is a professional esports team associated with the Gen.G organization, known for competing in high-level competitive gaming tournaments.
-
D.
Tigerland
Tigerland is a 2000 war drama film directed by Joel Schumacher that helped launch Colin Farrell to wider recognition through his acclaimed leading performance.
-
E.
Save the Tiger
Save the Tiger is a 1973 American drama film starring Jack Lemmon as a troubled businessman facing a midlife and moral crisis.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54bbfcc8190bec9c16e3749c3b1 |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdfada708190ba6ae04bad52bb2b |
completed | March 14, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69b4d2be3be4819082c9627099b78e32 |
completed | March 14, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d395336881908a942dd408560a81 |
completed | March 14, 2026, 3:18 a.m. |
Created at: March 8, 2026, 3:33 p.m.