Triple
T3926468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weezer |
E93287
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
El Scorcho
"El Scorcho" is an alternative rock song by the American band Weezer, known for its confessional lyrics and offbeat, emotionally charged style.
|
E400737
|
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: El Scorcho | Statement: [Weezer, notableWork, El Scorcho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Scorcho Context triple: [Weezer, notableWork, El Scorcho]
-
A.
El Matareya
El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
-
B.
El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
-
C.
La Arenosa
La Arenosa is a popular nickname for the Colombian city of Barranquilla, known for its vibrant culture and coastal Caribbean character.
-
D.
Fuego
Fuego is an active stratovolcano in Guatemala known for its frequent explosive eruptions and dramatic ash plumes.
-
E.
Scorch
Scorch is the fiery dragon mascot of the WNBA’s Phoenix Mercury, known for energizing fans at the team’s games.
- 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: El Scorcho Triple: [Weezer, notableWork, El Scorcho]
Generated description
"El Scorcho" is an alternative rock song by the American band Weezer, known for its confessional lyrics and offbeat, emotionally charged style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Scorcho Target entity description: "El Scorcho" is an alternative rock song by the American band Weezer, known for its confessional lyrics and offbeat, emotionally charged style.
-
A.
El Matareya
El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
-
B.
El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
-
C.
La Arenosa
La Arenosa is a popular nickname for the Colombian city of Barranquilla, known for its vibrant culture and coastal Caribbean character.
-
D.
Fuego
Fuego is an active stratovolcano in Guatemala known for its frequent explosive eruptions and dramatic ash plumes.
-
E.
Scorch
Scorch is the fiery dragon mascot of the WNBA’s Phoenix Mercury, known for energizing fans at the team’s games.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed80a1e48190aa39748b9db42701 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52878184c8190980af506bb03d5db |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b52c6830148190b06b16ff835f9c3f |
completed | March 14, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b53099ffcc8190a033663b2f5743aa |
completed | March 14, 2026, 9:55 a.m. |
Created at: March 9, 2026, 3:23 p.m.