Triple
T15652151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammersmith Apollo |
E376338
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
HMV Apollo
HMV Apollo was a former sponsored name of the historic Hammersmith Apollo, a major live entertainment and concert venue in London.
|
E1169464
|
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: HMV Apollo | Statement: [Hammersmith Apollo, formerName, HMV Apollo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HMV Apollo Context triple: [Hammersmith Apollo, formerName, HMV Apollo]
-
A.
HMV Group
HMV Group is a British entertainment retail company best known for its chain of music, film, and media stores.
-
B.
Odeon
Odeon was a small roofed theater in the ancient city of Ephesus, used for musical performances, lectures, and council meetings.
-
C.
B&O Warehouse
B&O Warehouse is a historic former railroad warehouse in Baltimore that forms the iconic brick backdrop beyond the right-field wall at Oriole Park at Camden Yards.
-
D.
Cine Odeon
Cine Odeon is a historic and iconic movie theater in Rio de Janeiro, Brazil, renowned for hosting film festivals and cultural events in the Cinelândia district.
-
E.
Hoyts
Hoyts is a major Australian cinema chain and film distribution company known for operating numerous movie theatres across Australia and New Zealand.
- 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: HMV Apollo Triple: [Hammersmith Apollo, formerName, HMV Apollo]
Generated description
HMV Apollo was a former sponsored name of the historic Hammersmith Apollo, a major live entertainment and concert venue in London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HMV Apollo Target entity description: HMV Apollo was a former sponsored name of the historic Hammersmith Apollo, a major live entertainment and concert venue in London.
-
A.
HMV Group
HMV Group is a British entertainment retail company best known for its chain of music, film, and media stores.
-
B.
Odeon
Odeon was a small roofed theater in the ancient city of Ephesus, used for musical performances, lectures, and council meetings.
-
C.
B&O Warehouse
B&O Warehouse is a historic former railroad warehouse in Baltimore that forms the iconic brick backdrop beyond the right-field wall at Oriole Park at Camden Yards.
-
D.
Cine Odeon
Cine Odeon is a historic and iconic movie theater in Rio de Janeiro, Brazil, renowned for hosting film festivals and cultural events in the Cinelândia district.
-
E.
Hoyts
Hoyts is a major Australian cinema chain and film distribution company known for operating numerous movie theatres across Australia and New Zealand.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff68481ff881909c23ae20bd3a9ff8 |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.