Triple
T6221965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black on Both Sides |
E139136
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Got |
E141032
|
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: Got | Statement: [Black on Both Sides, hasPart, Got]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Got Context triple: [Black on Both Sides, hasPart, Got]
-
A.
Got Money
chosen
"Got Money" is a popular hip-hop single by Lil Wayne featuring T-Pain, known for its club-oriented sound and commercial success in the late 2000s.
-
B.
Grab
Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
-
C.
Taken
Taken is a 2008 action thriller film in which Liam Neeson plays a former CIA operative who relentlessly hunts down his daughter's kidnappers in Paris.
-
D.
Stolen
"Stolen" is a suspense thriller novel by Tess Gerritsen that follows a woman whose identity and life are suddenly erased, plunging her into a dangerous conspiracy.
-
E.
Get a Grip
Get a Grip is a 1993 hard rock album by Aerosmith that features hits like "Cryin'," "Crazy," and "Amazing" and marked a major commercial resurgence for the band.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062bddb688190add53172a7445d01 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dcc5e788190a510cac6bbad4830 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.