Triple
T13842957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rémarde |
E332710
|
entity |
| Predicate | mouthOf |
P1008
|
FINISHED |
| Object |
Orge
Orge is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Seine.
|
E1064311
|
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: Orge | Statement: [Rémarde, mouthOf, Orge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orge Context triple: [Rémarde, mouthOf, Orge]
-
A.
Orgelet
Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
-
B.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
-
C.
Edgar Frog
Edgar Frog is a comic-book-obsessed teenage vampire hunter from the horror-comedy film "The Lost Boys," known for his dead-serious attitude and monster-fighting expertise.
-
D.
Porochilus
Porochilus is a genus of eel-tailed catfishes native to freshwater habitats in Australia and New Guinea.
-
E.
Guy le Gros
Guy le Gros is another name for Pope Clement IV, the 13th-century head of the Catholic Church and ruler of the Papal States.
- 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: Orge Triple: [Rémarde, mouthOf, Orge]
Generated description
Orge is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Seine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orge Target entity description: Orge is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Seine.
-
A.
Orgelet
Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
-
B.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
-
C.
Edgar Frog
Edgar Frog is a comic-book-obsessed teenage vampire hunter from the horror-comedy film "The Lost Boys," known for his dead-serious attitude and monster-fighting expertise.
-
D.
Porochilus
Porochilus is a genus of eel-tailed catfishes native to freshwater habitats in Australia and New Guinea.
-
E.
Guy le Gros
Guy le Gros is another name for Pope Clement IV, the 13th-century head of the Catholic Church and ruler of the Papal States.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69f7b9da1f848190a0c7e8d8a2b0954d |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbf47c888190be32a4105903120a |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 9, 2026, 10:13 p.m.