Triple
T8863732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxana Foote |
E210957
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Foote
Foote is a surname of English origin borne by various notable individuals across politics, the arts, and other fields.
|
E762283
|
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: Foote | Statement: [Roxana Foote, familyName, Foote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foote Context triple: [Roxana Foote, familyName, Foote]
-
A.
Foyle
Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
-
B.
Foale
Foale is the surname of Michael Foale, a British-American astrophysicist and former NASA astronaut known for his long-duration spaceflights and work on the Mir and International Space Station.
-
C.
Foody
Foody is the anthropomorphic, fruit-and-vegetable-themed character that served as the official mascot of Expo 2015 in Milan.
-
D.
Foça
Foça is a coastal town in western Turkey on the Aegean Sea, known for its historic harbor, ancient ruins, and traditional stone houses.
-
E.
Foor
Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
- 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: Foote Triple: [Roxana Foote, familyName, Foote]
Generated description
Foote is a surname of English origin borne by various notable individuals across politics, the arts, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foote Target entity description: Foote is a surname of English origin borne by various notable individuals across politics, the arts, and other fields.
-
A.
Foyle
Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
-
B.
Foale
Foale is the surname of Michael Foale, a British-American astrophysicist and former NASA astronaut known for his long-duration spaceflights and work on the Mir and International Space Station.
-
C.
Foody
Foody is the anthropomorphic, fruit-and-vegetable-themed character that served as the official mascot of Expo 2015 in Milan.
-
D.
Foça
Foça is a coastal town in western Turkey on the Aegean Sea, known for its historic harbor, ancient ruins, and traditional stone houses.
-
E.
Foor
Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610416b48190a26f0c457089ffca |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0caccd88190b6464f53d0239e47 |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa1abe8248190b6db4713292bdfd3 |
completed | April 3, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa24be80481909e2b575f99cd1dc4 |
completed | April 3, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:50 p.m.