Triple
T15433705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hieroglyphics |
E369702
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Pep Love
Pep Love is an American rapper best known as a core member of the Oakland-based underground hip hop collective Hieroglyphics.
|
E1156495
|
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: Pep Love | Statement: [Hieroglyphics, member, Pep Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pep Love Context triple: [Hieroglyphics, member, Pep Love]
-
A.
Pep
Pep is the widely used nickname of Josep "Pep" Guardiola, the renowned Spanish football manager and former player.
-
B.
Pep
Pep is a notable work associated with the artist Lights, likely recognized as part of her creative output in music or visual media.
-
C.
Paco
Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
-
D.
Johnny Lovo
Johnny Lovo is a crime boss character in the 1932 gangster film "Scarface," serving as an early mentor and rival to the ambitious protagonist Tony Camonte.
-
E.
El Pibe
El Pibe is the iconic nickname of Colombian football legend Carlos Valderrama, renowned for his playmaking skills and distinctive blond afro.
- 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: Pep Love Triple: [Hieroglyphics, member, Pep Love]
Generated description
Pep Love is an American rapper best known as a core member of the Oakland-based underground hip hop collective Hieroglyphics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pep Love Target entity description: Pep Love is an American rapper best known as a core member of the Oakland-based underground hip hop collective Hieroglyphics.
-
A.
Pep
Pep is the widely used nickname of Josep "Pep" Guardiola, the renowned Spanish football manager and former player.
-
B.
Pep
Pep is a notable work associated with the artist Lights, likely recognized as part of her creative output in music or visual media.
-
C.
Paco
Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
-
D.
Johnny Lovo
Johnny Lovo is a crime boss character in the 1932 gangster film "Scarface," serving as an early mentor and rival to the ambitious protagonist Tony Camonte.
-
E.
El Pibe
El Pibe is the iconic nickname of Colombian football legend Carlos Valderrama, renowned for his playmaking skills and distinctive blond afro.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8546948190a69ae1306bc19c64 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1bd48e548190b6b38507e8d1a1c8 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1c51d84c8190bb039c029b7efdbe |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 10, 2026, 3:21 a.m.