Triple
T2408815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephesus |
E50337
|
entity |
| Predicate | hasStructure |
P35
|
FINISHED |
| Object |
Odeon
Odeon was a small roofed theater in the ancient city of Ephesus, used for musical performances, lectures, and council meetings.
|
E262473
|
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: Odeon | Statement: [Ephesus, hasStructure, Odeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odeon Context triple: [Ephesus, hasStructure, Odeon]
-
A.
Odeon Cinemas
Odeon Cinemas is a major British and European cinema chain known for operating numerous multiplex movie theaters across the UK and beyond.
-
B.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
C.
Hoyts
Hoyts is a major Australian cinema chain and film distribution company known for operating numerous movie theatres across Australia and New Zealand.
-
D.
Whittier Village Cinemas
Whittier Village Cinemas is a local movie theater complex serving as a popular entertainment hub in downtown Whittier, California.
-
E.
Arclight Cinemas
Arclight Cinemas was a premium movie theater chain based in Los Angeles, known for its upscale amenities, reserved seating, and operation of the iconic Cinerama Dome.
- 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: Odeon Triple: [Ephesus, hasStructure, Odeon]
Generated description
Odeon was a small roofed theater in the ancient city of Ephesus, used for musical performances, lectures, and council meetings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Odeon Target entity description: Odeon was a small roofed theater in the ancient city of Ephesus, used for musical performances, lectures, and council meetings.
-
A.
Odeon Cinemas
Odeon Cinemas is a major British and European cinema chain known for operating numerous multiplex movie theaters across the UK and beyond.
-
B.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
C.
Hoyts
Hoyts is a major Australian cinema chain and film distribution company known for operating numerous movie theatres across Australia and New Zealand.
-
D.
Whittier Village Cinemas
Whittier Village Cinemas is a local movie theater complex serving as a popular entertainment hub in downtown Whittier, California.
-
E.
Arclight Cinemas
Arclight Cinemas was a premium movie theater chain based in Los Angeles, known for its upscale amenities, reserved seating, and operation of the iconic Cinerama Dome.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc925c6e481909bfd45b361d21963 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3edc63c8190ac6737bf28993f1b |
completed | March 9, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_69aeb4a5e9c481908426fe51343a1342 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb52bec1881909c589aea2af3684c |
completed | March 9, 2026, 11:55 a.m. |
Created at: March 4, 2026, 7:58 p.m.