Triple
T3377164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EastEnders |
E71091
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Simon May
Simon May is a British composer best known for creating iconic television theme tunes, including the famous theme for the soap opera EastEnders.
|
E353887
|
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: Simon May | Statement: [EastEnders, composer, Simon May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon May Context triple: [EastEnders, composer, Simon May]
-
A.
Sam Mills
Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
-
B.
Stuart Maynard
Stuart Maynard is an English football manager best known for managing Notts County F.C. in the lower tiers of the English football league system.
-
C.
Suggs
Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
-
D.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
-
E.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
- 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: Simon May Triple: [EastEnders, composer, Simon May]
Generated description
Simon May is a British composer best known for creating iconic television theme tunes, including the famous theme for the soap opera EastEnders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simon May Target entity description: Simon May is a British composer best known for creating iconic television theme tunes, including the famous theme for the soap opera EastEnders.
-
A.
Sam Mills
Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
-
B.
Stuart Maynard
Stuart Maynard is an English football manager best known for managing Notts County F.C. in the lower tiers of the English football league system.
-
C.
Suggs
Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
-
D.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
-
E.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b334490bf08190aa119e72d12f5e4b |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334d1e3348190b231a33058ee08a5 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b33901299481908615762989e45e7c |
completed | March 12, 2026, 10:06 p.m. |
Created at: March 8, 2026, 3:13 p.m.