Triple
T13861594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Newsreader |
E333208
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Peter
Peter is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
|
E1066754
|
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: [The Newsreader, hasMainCharacter, Peter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Context triple: [The Newsreader, hasMainCharacter, Peter]
-
A.
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.
-
B.
Peter
Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
-
C.
Peter
Peter is the sensible, rule-abiding leader of Enid Blyton’s Secret Seven children’s detective club.
-
D.
Peter
Peter was one of the leaders of the late 12th-century Bulgarian uprising that restored the Bulgarian Empire against Byzantine rule.
-
E.
Peter
Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
- 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: [The Newsreader, hasMainCharacter, Peter]
Generated description
Peter is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Target entity description: Peter is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
-
A.
Peter
Peter is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie."
-
B.
Peter
Peter is a character known as a friend and companion of Chinky the pixie in children's fantasy stories.
-
C.
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.
-
D.
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.
-
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
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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c33437e8819085b6f79402500ba3 |
completed | May 3, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3cd3cf0819099cc6cbd04c62e83 |
completed | May 3, 2026, 9:53 p.m. |
Created at: April 9, 2026, 10:14 p.m.