Triple
T14286666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freema Agyeman |
E354192
|
entity |
| Predicate | hasTwitterUsername |
P2943
|
FINISHED |
| Object |
FreemaOfficial
FreemaOfficial is the Twitter username of British actress Freema Agyeman, best known for playing Martha Jones in the television series Doctor Who.
|
E1090749
|
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: FreemaOfficial | Statement: [Freema Agyeman, hasTwitterUsername, FreemaOfficial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FreemaOfficial Context triple: [Freema Agyeman, hasTwitterUsername, FreemaOfficial]
-
A.
Chelsea Freeman
Chelsea Freeman is an American entrepreneur and social media personality best known as the wife of Major League Baseball star Freddie Freeman.
-
B.
Sarah Freestone
Sarah Freestone is known primarily as the wife of the prominent 19th-century English botanist John Lindley.
-
C.
Franchesca
Franchesca is a feminine given name, typically considered a variant spelling of Francesca and used in various English-speaking and European cultures.
-
D.
Ruby Frewen
Ruby Frewen was the wife of prominent British lawyer and Unionist politician Edward Carson, later Lord Carson.
-
E.
Freny Elavia
Freny Elavia is the wife of acclaimed Indian-born Canadian novelist Rohinton Mistry.
- 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: FreemaOfficial Triple: [Freema Agyeman, hasTwitterUsername, FreemaOfficial]
Generated description
FreemaOfficial is the Twitter username of British actress Freema Agyeman, best known for playing Martha Jones in the television series Doctor Who.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FreemaOfficial Target entity description: FreemaOfficial is the Twitter username of British actress Freema Agyeman, best known for playing Martha Jones in the television series Doctor Who.
-
A.
Chelsea Freeman
Chelsea Freeman is an American entrepreneur and social media personality best known as the wife of Major League Baseball star Freddie Freeman.
-
B.
Sarah Freestone
Sarah Freestone is known primarily as the wife of the prominent 19th-century English botanist John Lindley.
-
C.
Franchesca
Franchesca is a feminine given name, typically considered a variant spelling of Francesca and used in various English-speaking and European cultures.
-
D.
Ruby Frewen
Ruby Frewen was the wife of prominent British lawyer and Unionist politician Edward Carson, later Lord Carson.
-
E.
Freny Elavia
Freny Elavia is the wife of acclaimed Indian-born Canadian novelist Rohinton Mistry.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1c4d988190b595e6a33ef96c28 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3da6f0648190876dd86dd51e72cc |
completed | May 8, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3e30868481908b55b368ab45c7fb |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 10, 2026, 1:11 a.m.