Triple
T2679868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canopus |
E56547
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object |
Franck Goddio
Franck Goddio is a French underwater archaeologist renowned for discovering and excavating submerged ancient cities and shipwrecks, particularly off the coast of Egypt.
|
E293690
|
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: Franck Goddio | Statement: [Canopus, excavatedBy, Franck Goddio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franck Goddio Context triple: [Canopus, excavatedBy, Franck Goddio]
-
A.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
B.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
C.
Jean-Claude Kalache
Jean-Claude Kalache is a cinematographer and lighting artist best known for his work on Pixar animated films such as Monsters, Inc.
-
D.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
E.
Serge Losique
Serge Losique is a Canadian film festival founder and cultural figure best known for creating and long directing the Montreal World Film Festival.
- 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: Franck Goddio Triple: [Canopus, excavatedBy, Franck Goddio]
Generated description
Franck Goddio is a French underwater archaeologist renowned for discovering and excavating submerged ancient cities and shipwrecks, particularly off the coast of Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franck Goddio Target entity description: Franck Goddio is a French underwater archaeologist renowned for discovering and excavating submerged ancient cities and shipwrecks, particularly off the coast of Egypt.
-
A.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
B.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
C.
Jean-Claude Kalache
Jean-Claude Kalache is a cinematographer and lighting artist best known for his work on Pixar animated films such as Monsters, Inc.
-
D.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
E.
Serge Losique
Serge Losique is a Canadian film festival founder and cultural figure best known for creating and long directing the Montreal World Film Festival.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d36ea8819094ada73d86ffaa8b |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb679d5bc8190b2dd4edeaf09b1e7 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb7c0ac9c819088939e2a20e74c24 |
completed | March 10, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb84d36488190b49b05f2d5398627 |
completed | March 10, 2026, 6:21 a.m. |
Created at: March 6, 2026, 9:54 p.m.