Triple
T11172610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire of Light |
E264321
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Stephen
Stephen is the central protagonist of the film "Empire of Light," around whom the story’s emotional and social themes revolve.
|
E908967
|
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: Stephen | Statement: [Empire of Light, mainCharacter, Stephen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Context triple: [Empire of Light, mainCharacter, Stephen]
-
A.
Stephen
Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
-
B.
Stephen
Stephen is the full given name of former Scottish footballer and manager Steve Nicol, best known for his successful career with Liverpool FC in the 1980s and early 1990s.
-
C.
Stephen
Stephen is the first name of English former footballer and manager Steve Coppell.
-
D.
Stephen
Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
-
E.
Stephen
Stephen was the birth name of Pope Stephen II, a 8th-century pontiff who played a key role in forging the alliance between the papacy and the Frankish kingdom.
- 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: Stephen Triple: [Empire of Light, mainCharacter, Stephen]
Generated description
Stephen is the central protagonist of the film "Empire of Light," around whom the story’s emotional and social themes revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Target entity description: Stephen is the central protagonist of the film "Empire of Light," around whom the story’s emotional and social themes revolve.
-
A.
Stephen
Stephen is a central character in Terrence McNally’s play *The Lisbon Traviata*, a darkly comic drama about obsession, relationships, and opera fandom.
-
B.
Stephen
Stephen is a pivotal supporting character in Quentin Tarantino's film "Django Unchained," portrayed as the fiercely loyal and manipulative house slave of plantation owner Calvin Candie.
-
C.
Stephen
Stephen is the central character and narrator of Michael Frayn’s novel "Spies," whose childhood memories and perceptions drive the story’s exploration of secrecy, guilt, and wartime paranoia.
-
D.
Stephen
Stephen is a prominent early Christian figure known as the first Christian martyr, whose story is recounted in the New Testament book of Acts.
-
E.
Stephen
Stephen is the given first name of the iconic American actor and filmmaker Steve McQueen, known as the "King of Cool."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463c03a948190b0f40f657180c9bf |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.