Triple
T22724593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Pieces to Weight |
E561955
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
MTV Books
MTV Books is a publishing imprint of the MTV television network that focuses on releasing books tied to youth culture, music, and pop entertainment.
|
E1552454
|
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: MTV Books | Statement: [From Pieces to Weight, publisher, MTV Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTV Books Context triple: [From Pieces to Weight, publisher, MTV Books]
-
A.
MTV
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
B.
MTV Productions
MTV Productions is a television and film production company associated with MTV, known for creating popular reality and youth-oriented programming.
-
C.
MTV Music
MTV Music is a music-focused television brand under the broader MTV network, dedicated primarily to airing music videos and related music programming.
-
D.
MTV Films
MTV Films is an American film production company known for creating movies tied to MTV’s youth-oriented brand and pop culture programming.
-
E.
MTV Tr3́s
MTV Tr3́s was a U.S. cable television network targeting bilingual Latino youth with a mix of music, pop culture, and lifestyle programming.
- 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: MTV Books Triple: [From Pieces to Weight, publisher, MTV Books]
Generated description
MTV Books is a publishing imprint of the MTV television network that focuses on releasing books tied to youth culture, music, and pop entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTV Books Target entity description: MTV Books is a publishing imprint of the MTV television network that focuses on releasing books tied to youth culture, music, and pop entertainment.
-
A.
MTV
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
B.
MTV Productions
MTV Productions is a television and film production company associated with MTV, known for creating popular reality and youth-oriented programming.
-
C.
MTV Music
MTV Music is a music-focused television brand under the broader MTV network, dedicated primarily to airing music videos and related music programming.
-
D.
MTV Films
MTV Films is an American film production company known for creating movies tied to MTV’s youth-oriented brand and pop culture programming.
-
E.
MTV Tr3́s
MTV Tr3́s was a U.S. cable television network targeting bilingual Latino youth with a mix of music, pop culture, and lifestyle programming.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17928a21c8190a1b888754ba7808b |
completed | April 29, 2026, 3:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fc2b3a08190a6273719b13e2602 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b93d4b8e08190a0542ffc42f12814 |
completed | May 18, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b94bbb9c88190a7ab0937d1b398a5 |
completed | May 18, 2026, 10:37 p.m. |
Created at: April 17, 2026, 3:20 p.m.