Triple
T13793410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food & Liquor |
E331454
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Real |
E123237
|
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: Real | Statement: [Food & Liquor, hasPart, Real]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Context triple: [Food & Liquor, hasPart, Real]
-
A.
Real
chosen
"Real" is a track by American rapper Common from his socially conscious hip-hop album "Nobody's Smiling."
-
B.
Real
"Real" is a pop song by American singer Belinda Carlisle, released in the early 1990s as one of her singles following her peak late-1980s success.
-
C.
Real
Real is a coastal municipality in the province of Quezon, Philippines, known for its beaches, surfing spots, and proximity to the Sierra Madre mountains.
-
D.
Real
"Real" is a track from Kendrick Lamar's acclaimed concept album *good kid, m.A.A.d city*, exploring themes of authenticity, love, and personal values amid the struggles of his Compton upbringing.
-
E.
real
The real was the historical currency used in Portugal for several centuries before being replaced by the escudo.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b083387081909c6f4beb0e12cf36 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.