Triple
T21010690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are the Streets |
E517539
|
entity |
| Predicate | producer |
P490
|
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: [We Are the Streets, producer, Dame Grease]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dame Grease Context triple: [We Are the Streets, producer, 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 charismatic female emperor penguin from the Happy Feet animated film series, known for her powerful singing voice and as Mumble’s love interest and mate.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.