Triple
T10598780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viacom |
E275686
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
VIAB
VIAB was the NASDAQ stock ticker symbol for Viacom Inc., a major American media conglomerate known for owning networks such as MTV, Nickelodeon, and Comedy Central.
|
E874509
|
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: VIAB | Statement: [Viacom, tickerSymbol, VIAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIAB Context triple: [Viacom, tickerSymbol, VIAB]
-
A.
VIAG
VIAG was a major German industrial and energy conglomerate that later merged into E.ON.
-
B.
VIAG
VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
-
C.
VIAM
VIAM is the ICAO airport code for Ambala Air Force Station, a major Indian Air Force base located in Ambala, Haryana, India.
-
D.
VIAR
VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
-
E.
Via
Via is a popular bar and nightclub located in Manchester’s Gay Village, known for its lively atmosphere and LGBTQ+ friendly environment.
- 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: VIAB Triple: [Viacom, tickerSymbol, VIAB]
Generated description
VIAB was the NASDAQ stock ticker symbol for Viacom Inc., a major American media conglomerate known for owning networks such as MTV, Nickelodeon, and Comedy Central.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VIAB Target entity description: VIAB was the NASDAQ stock ticker symbol for Viacom Inc., a major American media conglomerate known for owning networks such as MTV, Nickelodeon, and Comedy Central.
-
A.
VIAG
VIAG was a major German industrial and energy conglomerate that later merged into E.ON.
-
B.
VIAG
VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
-
C.
VIAM
VIAM is the ICAO airport code for Ambala Air Force Station, a major Indian Air Force base located in Ambala, Haryana, India.
-
D.
VIAR
VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
-
E.
Via
Via is a popular bar and nightclub located in Manchester’s Gay Village, known for its lively atmosphere and LGBTQ+ friendly environment.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded358248190ba9268a51b2805fc |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e9c1a7c8190a91ad479518e411f |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d96145d1ec8190b3228733159e1364 |
completed | April 10, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9623cf54081908abcdc88e13d5176 |
completed | April 10, 2026, 8:49 p.m. |
Created at: April 8, 2026, 7:30 p.m.