Triple
T10845202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rake |
E255991
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object |
ABC1
ABC1 is a British television channel known for broadcasting a variety of entertainment programming, including imported American series.
|
E889601
|
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: ABC1 | Statement: [Rake, originalNetwork, ABC1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABC1 Context triple: [Rake, originalNetwork, ABC1]
-
A.
ABC
ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
-
B.
ABC
ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
-
C.
ABC
ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
-
D.
ABC
ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
-
E.
ABC-kiria
ABC-kiria is an early Finnish-language primer and religious text, notable as one of the first books printed in Finnish and used for teaching reading and Christian doctrine.
- 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: ABC1 Triple: [Rake, originalNetwork, ABC1]
Generated description
ABC1 is a British television channel known for broadcasting a variety of entertainment programming, including imported American series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ABC1 Target entity description: ABC1 is a British television channel known for broadcasting a variety of entertainment programming, including imported American series.
-
A.
ABC
ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
-
B.
ABC
ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
-
C.
ABC
ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
-
D.
ABC
ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
-
E.
ABC-kiria
ABC-kiria is an early Finnish-language primer and religious text, notable as one of the first books printed in Finnish and used for teaching reading and Christian doctrine.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb162d718819081fbc3a082672b4f |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69dec255abb08190bf93573c41aa35e9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7c48c3c81909365b901830f0906 |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:19 p.m.