Triple
T18148691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Benedict Enthoven Williams |
E434450
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Enthoven
Enthoven is the middle name of Beau Benedict Enthoven Williams, a member of the Williams family.
|
E1308367
|
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: Enthoven | Statement: [Beau Benedict Enthoven Williams, middleName, Enthoven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enthoven Context triple: [Beau Benedict Enthoven Williams, middleName, Enthoven]
-
A.
Eberstein
Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
-
B.
Takic
Takic is a branch of the Uto-Aztecan language family comprising several closely related Indigenous languages historically spoken in Southern California.
-
C.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
-
D.
Biedenharn
Biedenharn is a surname most notably associated with Joseph A. Biedenharn, an early bottler of Coca-Cola and prominent American businessman.
-
E.
Krogh
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
- 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: Enthoven Triple: [Beau Benedict Enthoven Williams, middleName, Enthoven]
Generated description
Enthoven is the middle name of Beau Benedict Enthoven Williams, a member of the Williams family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enthoven Target entity description: Enthoven is the middle name of Beau Benedict Enthoven Williams, a member of the Williams family.
-
A.
Eberstein
Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
-
B.
Takic
Takic is a branch of the Uto-Aztecan language family comprising several closely related Indigenous languages historically spoken in Southern California.
-
C.
Meyerhof
Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
-
D.
Biedenharn
Biedenharn is a surname most notably associated with Joseph A. Biedenharn, an early bottler of Coca-Cola and prominent American businessman.
-
E.
Krogh
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de372e8081908b52fe33c870716e |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03855631f48190ae8c343a4fa8f2a6 |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a0385d8a43c8190b61222b65c1f9a60 |
completed | May 12, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03868a4898819083dc64e9d39b6c80 |
completed | May 12, 2026, 7:59 p.m. |
Created at: April 10, 2026, 10:29 a.m.