Triple
T23475905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Grand National |
E570261
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Numbersixvalverde
Numbersixvalverde was a prominent Irish racehorse best known for winning both the Irish Grand National and the Aintree Grand National in the mid-2000s.
|
E1588365
|
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: Numbersixvalverde | Statement: [Irish Grand National, notableWinner, Numbersixvalverde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numbersixvalverde Context triple: [Irish Grand National, notableWinner, Numbersixvalverde]
-
A.
Siffre
Siffre is the surname of Labi Siffre, a British singer-songwriter, poet, and activist known for his soulful music and socially conscious lyrics.
-
B.
Ones and Sixes
Ones and Sixes is a 2015 studio album by the American indie rock band Low, noted for its sparse arrangements, atmospheric production, and introspective songwriting.
-
C.
Valender
Valender is a settlement within the fictional world or region of Amel.
-
D.
VAL 206
VAL 206 is a type of automated light metro train used on systems such as the Lille Metro’s Line 2.
-
E.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
- 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: Numbersixvalverde Triple: [Irish Grand National, notableWinner, Numbersixvalverde]
Generated description
Numbersixvalverde was a prominent Irish racehorse best known for winning both the Irish Grand National and the Aintree Grand National in the mid-2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Numbersixvalverde Target entity description: Numbersixvalverde was a prominent Irish racehorse best known for winning both the Irish Grand National and the Aintree Grand National in the mid-2000s.
-
A.
Siffre
Siffre is the surname of Labi Siffre, a British singer-songwriter, poet, and activist known for his soulful music and socially conscious lyrics.
-
B.
Ones and Sixes
Ones and Sixes is a 2015 studio album by the American indie rock band Low, noted for its sparse arrangements, atmospheric production, and introspective songwriting.
-
C.
Valender
Valender is a settlement within the fictional world or region of Amel.
-
D.
VAL 206
VAL 206 is a type of automated light metro train used on systems such as the Lille Metro’s Line 2.
-
E.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74cf57081909d2b90a806d68c08 |
completed | April 29, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c82622f08819087b983bfd69efe5d |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6f06a348190bfdba0452077f45b |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7c5176c81908221307bb50ff4ed |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 6:01 p.m.