Triple
T4688013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dropout |
E103966
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Michel Gill
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
|
E471743
|
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: Michel Gill | Statement: [The Dropout, starring, Michel Gill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Gill Context triple: [The Dropout, starring, Michel Gill]
-
A.
Gilles Wach
Gilles Wach is a French Roman Catholic priest best known as the co-founder and first Prior General of the traditionalist Institute of Christ the King Sovereign Priest.
-
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.
Gérard Lopez
Gérard Lopez is a Luxembourgish-Spanish businessman and investor known for owning and leading several European football clubs, including Girondins de Bordeaux and previously Lille OSC.
-
D.
Laurent Jouvenet
Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
-
E.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
- 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: Michel Gill Triple: [The Dropout, starring, Michel Gill]
Generated description
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Gill Target entity description: Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
-
A.
Gilles Wach
Gilles Wach is a French Roman Catholic priest best known as the co-founder and first Prior General of the traditionalist Institute of Christ the King Sovereign Priest.
-
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.
Gérard Lopez
Gérard Lopez is a Luxembourgish-Spanish businessman and investor known for owning and leading several European football clubs, including Girondins de Bordeaux and previously Lille OSC.
-
D.
Laurent Jouvenet
Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
-
E.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d7ad90c8190b6f36472a209a0f9 |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4f0a6f548190beb90be3c17611a6 |
completed | March 21, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f623e808190969536dce2db2e35 |
completed | March 21, 2026, 7:57 a.m. |
Created at: March 20, 2026, 1:16 p.m.