Triple
T17444478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puppet Master |
E424744
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
André Toulon
André Toulon is a fictional puppeteer and occultist who animates living puppets in the horror film franchise "Puppet Master."
|
E1269741
|
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: André Toulon | Statement: [Puppet Master, hasCharacter, André Toulon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Toulon Context triple: [Puppet Master, hasCharacter, André Toulon]
-
A.
Antoine Dupont
Antoine Dupont is a French rugby union scrum-half widely regarded as one of the best players in the world and a key figure for both Toulouse and the French national team.
-
B.
Jordy Deschamps
Jordy Deschamps is a writer known for his work on the project or publication titled "#Selfie."
-
C.
Emmanuel Bailly
Emmanuel Bailly was a 19th-century French Catholic layman and journalist best known as the founding president and organizer of the Society of Saint Vincent de Paul.
-
D.
Luc Montpellier
Luc Montpellier is a Canadian cinematographer known for his visually expressive work on independent and art-house films.
-
E.
Kévin Aymoz
Kévin Aymoz is a French figure skater known for his expressive performances and multiple national championship titles in men's singles.
- 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: André Toulon Triple: [Puppet Master, hasCharacter, André Toulon]
Generated description
André Toulon is a fictional puppeteer and occultist who animates living puppets in the horror film franchise "Puppet Master."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: André Toulon Target entity description: André Toulon is a fictional puppeteer and occultist who animates living puppets in the horror film franchise "Puppet Master."
-
A.
Antoine Dupont
Antoine Dupont is a French rugby union scrum-half widely regarded as one of the best players in the world and a key figure for both Toulouse and the French national team.
-
B.
Jordy Deschamps
Jordy Deschamps is a writer known for his work on the project or publication titled "#Selfie."
-
C.
Emmanuel Bailly
Emmanuel Bailly was a 19th-century French Catholic layman and journalist best known as the founding president and organizer of the Society of Saint Vincent de Paul.
-
D.
Luc Montpellier
Luc Montpellier is a Canadian cinematographer known for his visually expressive work on independent and art-house films.
-
E.
Kévin Aymoz
Kévin Aymoz is a French figure skater known for his expressive performances and multiple national championship titles in men's singles.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01aff85fa0819098b01ec5a7ebb730 |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b0cd1df481908c760bdfcacba496 |
completed | May 11, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b208e6d8819080a363da368ec2e9 |
completed | May 11, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:47 a.m.