Triple
T6738892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratt |
E154024
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Juan Croucier
Juan Croucier is an American bassist and songwriter best known as a longtime member of the glam metal band Ratt.
|
E688645
|
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: Juan Croucier | Statement: [Ratt, member, Juan Croucier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Croucier Context triple: [Ratt, member, Juan Croucier]
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
Thierry Cruanes
Thierry Cruanes is a computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
C.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
D.
Luc Teyssier
Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
-
E.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
- 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: Juan Croucier Triple: [Ratt, member, Juan Croucier]
Generated description
Juan Croucier is an American bassist and songwriter best known as a longtime member of the glam metal band Ratt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juan Croucier Target entity description: Juan Croucier is an American bassist and songwriter best known as a longtime member of the glam metal band Ratt.
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
Thierry Cruanes
Thierry Cruanes is a computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
C.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
D.
Luc Teyssier
Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
-
E.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1866dbc81909483fbd5ed6a3ec8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8de86454081909232f45fa7d48976 |
completed | March 29, 2026, 8:10 a.m. |
| NEDg | Description generation | batch_69c8df95d77c8190abb80b9b59f20ee3 |
completed | March 29, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e037620c8190aa5948b68756793d |
completed | March 29, 2026, 8:17 a.m. |
Created at: March 27, 2026, 2:10 p.m.