Triple
T6229840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yield |
E139325
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Red Dot
"Red Dot" is a song by the American rock band Yield, known for its brief, experimental, and largely instrumental style.
|
E578022
|
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: Red Dot | Statement: [Yield, track, Red Dot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Dot Context triple: [Yield, track, Red Dot]
-
A.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
B.
Triskelion
The Triskelion is a massive high-tech headquarters and command center used by the Marvel Universe intelligence agency S.H.I.E.L.D.
-
C.
Red Star
Red Star is a major Serbian professional football club based in Belgrade, renowned for its passionate fan base and success in domestic and European competitions, including winning the 1991 European Cup.
-
D.
The Blue and White
The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
-
E.
Selloi
The Selloi were the ancient priests associated with the oracle of Zeus at Dodona in Epirus, known from Homeric tradition.
- 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: Red Dot Triple: [Yield, track, Red Dot]
Generated description
"Red Dot" is a song by the American rock band Yield, known for its brief, experimental, and largely instrumental style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Dot Target entity description: "Red Dot" is a song by the American rock band Yield, known for its brief, experimental, and largely instrumental style.
-
A.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
B.
Triskelion
The Triskelion is a massive high-tech headquarters and command center used by the Marvel Universe intelligence agency S.H.I.E.L.D.
-
C.
Red Star
Red Star is a major Serbian professional football club based in Belgrade, renowned for its passionate fan base and success in domestic and European competitions, including winning the 1991 European Cup.
-
D.
The Blue and White
The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
-
E.
Selloi
The Selloi were the ancient priests associated with the oracle of Zeus at Dodona in Epirus, known from Homeric tradition.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d9a33c8190b66dbd89e0e3bbba |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20de90ba08190be1e0c44b5b13f53 |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c212d46f648190b72eb440d02178b8 |
completed | March 24, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2138541608190a3ea346ff23974a3 |
completed | March 24, 2026, 4:31 a.m. |
Created at: March 22, 2026, 4:22 p.m.