Triple
T23411117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Truth |
E560068
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Beanie Mac |
E1585329
|
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: Beanie Mac | Statement: [The Truth, featuresArtist, Beanie Mac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beanie Mac Context triple: [The Truth, featuresArtist, Beanie Mac]
-
A.
Beanie Mac
chosen
Beanie Mac is a hip-hop artist known for contributing a featured verse to the track "The Truth."
-
B.
Beanie Sigel
Beanie Sigel is an American rapper and actor from Philadelphia known for his gritty lyricism and work with Roc-A-Fella Records.
-
C.
Beanie (Mack Bitch)
"Beanie (Mack Bitch)" is a hip-hop track by rapper Beanie Sigel, known for its gritty lyrics and street-oriented themes.
-
D.
Fifi Macaffee
Fifi Macaffee is a character portrayed by Australian actor Roger Ward, best known from the cult action film "The Cars That Ate Paris."
-
E.
Meg Steedle
Meg Steedle is an American actress known for her work in television dramas and comedies, including prominent roles on series such as Boardwalk Empire and The Mysteries of Laura.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8243ada081908ff5312f06b3a465 |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 5:38 p.m.