Triple
T22006271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gojira |
E543455
|
entity |
| Predicate | hasSignatureSong |
P7258
|
FINISHED |
| Object |
Silvera
"Silvera" is a popular heavy metal song by the French band Gojira, known for its intricate riffs, dynamic rhythms, and environmentally themed lyrics.
|
E1513386
|
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: Silvera | Statement: [Gojira, hasSignatureSong, Silvera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvera Context triple: [Gojira, hasSignatureSong, Silvera]
-
A.
Silfur
Silfur is a contemplative modern classical album by composer and pianist Dustin O’Halloran, characterized by intimate piano pieces and atmospheric, minimalist arrangements.
-
B.
Silberen
Silberen is a mountain in the Schwyzer Alps of central Switzerland, known for its karst landscape and alpine hiking routes.
-
C.
Silberling
Silberling is a surname most notably associated with American film and television director Brad Silberling.
-
D.
Silvers
Silvers is a surname most notably associated with Robert Silvers, the longtime editor and co-founder of The New York Review of Books.
-
E.
Argenta
Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
- 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: Silvera Triple: [Gojira, hasSignatureSong, Silvera]
Generated description
"Silvera" is a popular heavy metal song by the French band Gojira, known for its intricate riffs, dynamic rhythms, and environmentally themed lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silvera Target entity description: "Silvera" is a popular heavy metal song by the French band Gojira, known for its intricate riffs, dynamic rhythms, and environmentally themed lyrics.
-
A.
Silfur
Silfur is a contemplative modern classical album by composer and pianist Dustin O’Halloran, characterized by intimate piano pieces and atmospheric, minimalist arrangements.
-
B.
Silberen
Silberen is a mountain in the Schwyzer Alps of central Switzerland, known for its karst landscape and alpine hiking routes.
-
C.
Silberling
Silberling is a surname most notably associated with American film and television director Brad Silberling.
-
D.
Silvers
Silvers is a surname most notably associated with Robert Silvers, the longtime editor and co-founder of The New York Review of Books.
-
E.
Argenta
Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7374d2d881908c06514de419cf0c |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a748c80b88190aaca0c0540c6f802 |
completed | May 18, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7539f3308190a1ff50ad7cf89545 |
completed | May 18, 2026, 2:11 a.m. |
Created at: April 16, 2026, 8:21 p.m.