Triple
T835411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beatles |
E18058
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
ELO
ELO (Electric Light Orchestra) is a British rock band known for blending pop and rock with classical-inspired orchestration and elaborate studio production.
|
E97675
|
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: ELO | Statement: [The Beatles, influenced, ELO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ELO Context triple: [The Beatles, influenced, ELO]
-
A.
Les Kiss
Les Kiss is an Australian rugby union coach and former player known for his roles with various professional teams and national sides, including the Queensland Reds.
-
B.
Odeo
Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
-
C.
E.I.
"E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
-
D.
Elis
Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
-
E.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
- 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: ELO Triple: [The Beatles, influenced, ELO]
Generated description
ELO (Electric Light Orchestra) is a British rock band known for blending pop and rock with classical-inspired orchestration and elaborate studio production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ELO Target entity description: ELO (Electric Light Orchestra) is a British rock band known for blending pop and rock with classical-inspired orchestration and elaborate studio production.
-
A.
Les Kiss
Les Kiss is an Australian rugby union coach and former player known for his roles with various professional teams and national sides, including the Queensland Reds.
-
B.
Odeo
Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
-
C.
E.I.
"E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
-
D.
Elis
Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
-
E.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abce08348190b716e3ce5a638f99 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9b57fc8190981ed4eeb2ac5548 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a782fae3f48190b27e5f0aefa1dd70 |
completed | March 4, 2026, 12:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7838451348190838910e90866a1f0 |
completed | March 4, 2026, 12:57 a.m. |
Created at: March 1, 2026, 7:38 p.m.