Triple
T2850407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwyneth Paltrow |
E63076
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Goop |
E303083
|
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: Goop | Statement: [Gwyneth Paltrow, notableWork, Goop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goop Context triple: [Gwyneth Paltrow, notableWork, Goop]
-
A.
Goop
chosen
Goop is a lifestyle and wellness brand known for its high-end products, health advice, and often controversial alternative medicine recommendations.
-
B.
Gumm
Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
-
C.
Elmer's
Elmer's is a well-known American brand best recognized for its school and craft glues and other adhesive products.
-
D.
Goody Goody
"Goody Goody" is a popular 1936 jazz and pop standard, best known through recordings by artists like Benny Goodman and Ella Fitzgerald.
-
E.
Gooba
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf437328819098506ec8a3a23e11 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d81e76c8190aae5e6dd9b13e28b |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:02 p.m.