Triple
T11713463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princesse Tam-Tam |
E278429
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Jean Galland
Jean Galland was a French film and stage actor active in the early to mid-20th century.
|
E942071
|
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: Jean Galland | Statement: [Princesse Tam-Tam, castMember, Jean Galland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Galland Context triple: [Princesse Tam-Tam, castMember, Jean Galland]
-
A.
François Delarozière
François Delarozière is a French artist and designer renowned for his monumental mechanical sculptures and fantastical urban installations.
-
B.
Bertrand Morane
Bertrand Morane is the obsessive, womanizing protagonist of François Truffaut’s film "The Man Who Loved Women," whose life is defined by his compulsive pursuit of romantic and sexual relationships.
-
C.
Serge Dassault
Serge Dassault was a French industrialist, politician, and billionaire who led the Dassault aviation and media empire.
-
D.
Marcel Dassault
Marcel Dassault was a prominent French aircraft industrialist, engineer, and politician who founded the Dassault aviation empire.
-
E.
Serge Kampf
Serge Kampf was a French entrepreneur best known as the founder and longtime leader of the global consulting and IT services company Capgemini.
- 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: Jean Galland Triple: [Princesse Tam-Tam, castMember, Jean Galland]
Generated description
Jean Galland was a French film and stage actor active in the early to mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Galland Target entity description: Jean Galland was a French film and stage actor active in the early to mid-20th century.
-
A.
François Delarozière
François Delarozière is a French artist and designer renowned for his monumental mechanical sculptures and fantastical urban installations.
-
B.
Bertrand Morane
Bertrand Morane is the obsessive, womanizing protagonist of François Truffaut’s film "The Man Who Loved Women," whose life is defined by his compulsive pursuit of romantic and sexual relationships.
-
C.
Serge Dassault
Serge Dassault was a French industrialist, politician, and billionaire who led the Dassault aviation and media empire.
-
D.
Marcel Dassault
Marcel Dassault was a prominent French aircraft industrialist, engineer, and politician who founded the Dassault aviation empire.
-
E.
Serge Kampf
Serge Kampf was a French entrepreneur best known as the founder and longtime leader of the global consulting and IT services company Capgemini.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef838562d08190b9a764e88c50d423 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef9b68309081909f3f614efeeb2ab1 |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd6aba82c81909ff22e6b26db3cfe |
completed | April 27, 2026, 9:35 p.m. |
Created at: April 8, 2026, 9:40 p.m.