Triple
T17990835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flickering Lights |
E430364
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Peter
Peter is the central protagonist of the Danish dark comedy film "Flickering Lights," around whom the story’s criminal caper and character-driven humor revolve.
|
E1299871
|
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: Peter | Statement: [Flickering Lights, mainCharacter, Peter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Context triple: [Flickering Lights, mainCharacter, Peter]
-
A.
Peter
Peter is a common male given name of Greek origin, widely used in many languages and cultures, often associated with the meaning "rock" or "stone."
-
B.
Peter
Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
-
C.
Peter
Peter is a leading apostle of Jesus in the New Testament, known for his prominent role in the early Christian church and for preaching key messages about Jesus’ resurrection.
-
D.
Peter
Peter is the sensible, rule-abiding leader of Enid Blyton’s Secret Seven children’s detective club.
-
E.
Peter
Peter is a recurring child character in Enid Blyton’s “Wishing-Chair” fantasy series, known for his magical adventures involving a flying chair.
- 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: Peter Triple: [Flickering Lights, mainCharacter, Peter]
Generated description
Peter is the central protagonist of the Danish dark comedy film "Flickering Lights," around whom the story’s criminal caper and character-driven humor revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Target entity description: Peter is the central protagonist of the Danish dark comedy film "Flickering Lights," around whom the story’s criminal caper and character-driven humor revolve.
-
A.
Peter
Peter is a central character in the darkly comedic short film "The New Tenants," around whom much of the film’s tension and absurdity unfolds.
-
B.
Peter
Peter is the central protagonist in the British black comedy film "Death at a Funeral," around whom the chaotic and farcical events of the story unfold.
-
C.
Peter
Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
-
D.
Peter
Peter is a character known as a friend and companion of Chinky the pixie in children's fantasy stories.
-
E.
Peter
Peter is the brave young protagonist of Sergei Prokofiev’s symphonic fairy tale "Peter and the Wolf," known for capturing a wolf with the help of his animal friends.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337acabd481909deced9a61d84ed3 |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a0338cd02808190b650f59fc16bab0d |
completed | May 12, 2026, 2:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033cb498248190a3805cd356832cd0 |
completed | May 12, 2026, 2:44 p.m. |
Created at: April 10, 2026, 10:23 a.m.