Triple
T15307054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Oiseau bleu |
E365929
|
entity |
| Predicate | mainCharacters |
P9202
|
FINISHED |
| Object |
Tyltyl
Tyltyl is the young protagonist of Maurice Maeterlinck’s play "The Blue Bird," who embarks on a magical quest in search of happiness.
|
E1149519
|
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: Tyltyl | Statement: [L’Oiseau bleu, mainCharacters, Tyltyl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyltyl Context triple: [L’Oiseau bleu, mainCharacters, Tyltyl]
-
A.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
-
B.
Titti
Titti were one of the principal Celtiberian tribes inhabiting the central Iberian Peninsula in pre-Roman times.
-
C.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Tinn
Tinn is a mountainous municipality in Vestfold og Telemark county, Norway, known for the industrial town of Rjukan and its role in World War II heavy water sabotage.
- 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: Tyltyl Triple: [L’Oiseau bleu, mainCharacters, Tyltyl]
Generated description
Tyltyl is the young protagonist of Maurice Maeterlinck’s play "The Blue Bird," who embarks on a magical quest in search of happiness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tyltyl Target entity description: Tyltyl is the young protagonist of Maurice Maeterlinck’s play "The Blue Bird," who embarks on a magical quest in search of happiness.
-
A.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
-
B.
Titti
Titti were one of the principal Celtiberian tribes inhabiting the central Iberian Peninsula in pre-Roman times.
-
C.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Tinn
Tinn is a mountainous municipality in Vestfold og Telemark county, Norway, known for the industrial town of Rjukan and its role in World War II heavy water sabotage.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89feda88190b18f6a03d6e968aa |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa13e8508190930a22439b7f154a |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa80be14819089e87e7bdb3af7ec |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.