Triple
T8720977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tours Volley-Ball |
E207009
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TVB
TVB is a professional volleyball club based in Tours, France, known for its success in national and European competitions.
|
E752827
|
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: TVB | Statement: [Tours Volley-Ball, shortName, TVB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVB Context triple: [Tours Volley-Ball, shortName, TVB]
-
A.
TVING
TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
-
B.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
C.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
D.
SBS Television
SBS Television is an Australian free-to-air public broadcasting network known for its multicultural and multilingual programming.
-
E.
Eastern TV
Eastern TV is a television production company best known for creating and producing reality TV series, including entries in the "Love & Hip Hop" franchise.
- 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: TVB Triple: [Tours Volley-Ball, shortName, TVB]
Generated description
TVB is a professional volleyball club based in Tours, France, known for its success in national and European competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TVB Target entity description: TVB is a professional volleyball club based in Tours, France, known for its success in national and European competitions.
-
A.
TVING
TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
-
B.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
C.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
D.
SBS Television
SBS Television is an Australian free-to-air public broadcasting network known for its multicultural and multilingual programming.
-
E.
Eastern TV
Eastern TV is a television production company best known for creating and producing reality TV series, including entries in the "Love & Hip Hop" franchise.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d03f0848190a50c77e5cd028ee7 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28f599a481908e93bc5b5c41296e |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd32cc881909ac8a61befa9929e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c69f83481909423858668d03a8b |
completed | April 3, 2026, 2:56 a.m. |
Created at: March 30, 2026, 6:36 p.m.