Triple
T16163137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rap City |
E392226
|
entity |
| Predicate | hasHost |
P2592
|
FINISHED |
| Object |
Big Lez
Big Lez is a television personality and host best known for presenting the hip-hop music video show "Rap City."
|
E1198200
|
NE FINISHED |
How this triple was built (4 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: Big Lez | Statement: [Rap City, hasHost, Big Lez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Lez Context triple: [Rap City, hasHost, Big Lez]
-
A.
Laz
Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
-
B.
Zocca
Zocca is a small Italian town in the Emilia-Romagna region, known as the birthplace of rock musician Vasco Rossi and for its Apennine mountain setting.
-
C.
Big Al
Big Al is the costumed elephant mascot who represents the University of Alabama at athletic events and school functions.
-
D.
Lewie
Lewie is a diminutive given name, typically used as a familiar or affectionate form of the name Lewis.
-
E.
Pleakley
Pleakley is a one-eyed, nervous but well-meaning alien from the Lilo & Stitch franchise who serves as an Earth expert and comic sidekick to Jumba.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Big Lez Triple: [Rap City, hasHost, Big Lez]
Generated description
Big Lez is a television personality and host best known for presenting the hip-hop music video show "Rap City."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Lez Target entity description: Big Lez is a television personality and host best known for presenting the hip-hop music video show "Rap City."
-
A.
Laz
Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
-
B.
Zocca
Zocca is a small Italian town in the Emilia-Romagna region, known as the birthplace of rock musician Vasco Rossi and for its Apennine mountain setting.
-
C.
Big Al
Big Al is the costumed elephant mascot who represents the University of Alabama at athletic events and school functions.
-
D.
Lewie
Lewie is a diminutive given name, typically used as a familiar or affectionate form of the name Lewis.
-
E.
Pleakley
Pleakley is a one-eyed, nervous but well-meaning alien from the Lilo & Stitch franchise who serves as an Earth expert and comic sidekick to Jumba.
- F. None of above. chosen
Provenance (5 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e616770819093f16c88722b2a7d |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b69adc8190ba90d68acaaca509 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff963de888190b2222c3ec0b4a8fd |
completed | May 10, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff9f70afc8190bd8e77465ce6bd0b |
completed | May 10, 2026, 3:22 a.m. |
Created at: April 10, 2026, 5:02 a.m.