Triple
T14119205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter and the Wolf |
E339860
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
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.
|
E1080524
|
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: [Peter and the Wolf, hasCharacter, Peter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Context triple: [Peter and the Wolf, hasCharacter, 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 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.
-
C.
Peter
Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
-
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: [Peter and the Wolf, hasCharacter, Peter]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Target entity description: 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.
-
A.
Peter
Peter is a character known as a friend and companion of Chinky the pixie in children's fantasy stories.
-
B.
Peter
Peter is the young, adventurous orphan who becomes the boy that never grows up in the Peter and the Starcatcher prequel to the Peter Pan story.
-
C.
Peter
Peter is a recurring child character in Enid Blyton’s “Wishing-Chair” fantasy series, known for his magical adventures involving a flying chair.
-
D.
Peter
Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
-
E.
Peter
Peter is one of the three allegorical brothers in Jonathan Swift’s satirical work "A Tale of a Tub," representing the excesses and corruptions of the Roman Catholic Church.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de609322ac8190bb389ca250882af5 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0bc60088190a7e2f0c9532304e3 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd56da6408190bdbce6581c51d065 |
completed | May 7, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd5f8266081909ff9148a77d63ea8 |
completed | May 7, 2026, 6:12 p.m. |
Created at: April 9, 2026, 10:22 p.m.