Triple
T4273100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonic Youth |
E96984
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Goo |
E356060
|
NE FINISHED |
How this triple was built (2 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: Goo | Statement: [Sonic Youth, notableWork, Goo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goo Context triple: [Sonic Youth, notableWork, Goo]
-
A.
Goo
chosen
Goo is a 1990 alternative rock album by Sonic Youth, noted for its noisy guitar sound and influential role in bringing underground rock toward the mainstream.
-
B.
GOOY
GOOY is the ICAO airport code for Léopold Sédar Senghor International Airport in Dakar, Senegal.
-
C.
Goop
Goop is a lifestyle and wellness brand known for its high-end products, health advice, and often controversial alternative medicine recommendations.
-
D.
Gumm
Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
-
E.
Gooey
"Gooey" is a popular psychedelic indie-pop song by the English band Glass Animals, known for its sensual lyrics, hazy production, and distinctive, hypnotic groove.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffe44508190875d734eb18dfb87 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7a7fbe0819080076b8d8e4c3bbe |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:07 p.m.