Triple
T16411890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Thieriot |
E398586
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Thieriot
Thieriot is a surname most notably associated with American actor and director Max Thieriot.
|
E1211207
|
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: Thieriot | Statement: [Max Thieriot, familyName, Thieriot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thieriot Context triple: [Max Thieriot, familyName, Thieriot]
-
A.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
B.
Rigault
Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
-
C.
Marcelin
Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
-
D.
Lamarche
Lamarche is a commune in northeastern France, located in the Vosges department of the Grand Est region.
-
E.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
- 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: Thieriot Triple: [Max Thieriot, familyName, Thieriot]
Generated description
Thieriot is a surname most notably associated with American actor and director Max Thieriot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thieriot Target entity description: Thieriot is a surname most notably associated with American actor and director Max Thieriot.
-
A.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
B.
Rigault
Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
-
C.
Marcelin
Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
-
D.
Lamarche
Lamarche is a commune in northeastern France, located in the Vosges department of the Grand Est region.
-
E.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32874a0cc8190874aea10b1d13004 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c68b7408190a9612a57f146dc30 |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003db7b0308190bc4b8065cf2c01ec |
completed | May 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003e86a9f48190ae39ec170c776604 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.