Triple
T12655928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Tussaud |
E302282
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marie Tussaud |
E302282
|
NE FINISHED |
How this triple was built (2 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: Marie Tussaud | Statement: [Marie Tussaud, name, Marie Tussaud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Tussaud Context triple: [Marie Tussaud, name, Marie Tussaud]
-
A.
Marie Tussaud
chosen
Marie Tussaud was a French artist and entrepreneur best known for creating lifelike wax sculptures and founding the world-famous wax museum that bears her name.
-
B.
Nelly Borgeaud
Nelly Borgeaud was a French actress known for her work in mid-20th-century European cinema and collaborations with prominent directors.
-
C.
Marie Salamagne
Marie Salamagne is a French perfumer known for creating prominent designer fragrances, including co-creating Yves Saint Laurent’s Black Opium.
-
D.
Marie-Louise Élisabeth Labouret
Marie-Louise Élisabeth Labouret was the French innkeeper’s daughter who became the wife of General Thomas-Alexandre Dumas and the mother of novelist Alexandre Dumas.
-
E.
Anne Pigalle
Anne Pigalle is a French-born chanteuse, visual artist, and performer known for her avant-garde style and work in the 1980s London art and music scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961620b188190a8a8569f1133a9cf |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668832c7081909eb75429efba493e |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.