Triple
T19993843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Grease |
E494129
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dame Grease |
—
|
NE NERFINISHED |
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: Dame Grease | Statement: [Dame Grease, name, Dame Grease]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dame Grease Context triple: [Dame Grease, name, Dame Grease]
-
A.
Dame Grease
chosen
Dame Grease is an American hip-hop record producer best known for his work with DMX and the Ruff Ryders collective during the late 1990s and early 2000s.
-
B.
Glamorous Glennis
Glamorous Glennis was the name Chuck Yeager gave to several of his aircraft, most famously the Bell X-1 rocket plane in which he first broke the sound barrier.
-
C.
Gloria
Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
-
D.
Gloria
Gloria is a feminine given name of Latin origin meaning "glory," borne by numerous notable figures in entertainment, politics, and literature.
-
E.
Gloria
"Gloria" is a 2019 folk-rock single by American band The Lumineers, known for its raw portrayal of addiction and family struggle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.