Triple
T21845999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Cheeks |
E539375
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Freaky Tah |
—
|
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: Freaky Tah | Statement: [Mr. Cheeks, associatedAct, Freaky Tah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freaky Tah Context triple: [Mr. Cheeks, associatedAct, Freaky Tah]
-
A.
Freaky Tah
chosen
Freaky Tah was an American rapper best known as a member of the Queens-based hip hop group Lost Boyz during the 1990s.
-
B.
Freak
"Freak" is a track from Cam'ron's 2002 hip-hop album "Come Home with Me," known for its explicit lyrics and club-oriented production.
-
C.
Freak
"Freak" is a 1997 grunge-influenced alternative rock song by Australian band Silverchair, known for its heavy riffs and angsty lyrics.
-
D.
The Freak
The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
-
E.
Freaky
Freaky is a 2020 American horror-comedy film that blends slasher elements with body-swap humor, directed by Christopher Landon and starring Vince Vaughn and Kathryn Newton.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd546fb48190a7b815233650c2e7 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.