Triple
T9769852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Merseybeats |
E237094
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Tony Young
Tony Young is a musician best known as a member of the British beat group The Merseybeats, part of the 1960s Merseybeat scene.
|
E819377
|
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: Tony Young | Statement: [The Merseybeats, hasMember, Tony Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Young Context triple: [The Merseybeats, hasMember, Tony Young]
-
A.
Alex Young
Alex Young is a Hollywood film producer known for working on major studio action and genre movies, including big-budget adaptations and franchises.
-
B.
Johan Young
Johan Young was a notable figure in Norwegian history after whom the public square Youngstorget in Oslo is named.
-
C.
Johnathan Young
Johnathan Young is a music producer and artist best known for his rock and metal covers of popular songs and themes on YouTube.
-
D.
Jeff Young
Jeff Young is a music producer associated with the influential hip-hop label Sugar Hill Records.
-
E.
Shaun Terence Young
Shaun Terence Young was a British film director best known for directing early James Bond films such as "Dr. No," "From Russia with Love," and "Thunderball."
- 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: Tony Young Triple: [The Merseybeats, hasMember, Tony Young]
Generated description
Tony Young is a musician best known as a member of the British beat group The Merseybeats, part of the 1960s Merseybeat scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Young Target entity description: Tony Young is a musician best known as a member of the British beat group The Merseybeats, part of the 1960s Merseybeat scene.
-
A.
Alex Young
Alex Young is a Hollywood film producer known for working on major studio action and genre movies, including big-budget adaptations and franchises.
-
B.
Johan Young
Johan Young was a notable figure in Norwegian history after whom the public square Youngstorget in Oslo is named.
-
C.
Johnathan Young
Johnathan Young is a music producer and artist best known for his rock and metal covers of popular songs and themes on YouTube.
-
D.
Jeff Young
Jeff Young is a music producer associated with the influential hip-hop label Sugar Hill Records.
-
E.
Shaun Terence Young
Shaun Terence Young was a British film director best known for directing early James Bond films such as "Dr. No," "From Russia with Love," and "Thunderball."
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f1dea08190b89bcc192b068c66 |
completed | April 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd05f2588190ab413d26342aa70f |
completed | April 5, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_69d1bd901e4881908a39be828eb7f21b |
completed | April 5, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bdfe40f4819096b1d0442f4ee181 |
completed | April 5, 2026, 1:42 a.m. |
Created at: March 30, 2026, 8:26 p.m.