Triple
T14300621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Taylor |
E354551
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Sara Kingdom
Sara Kingdom is a 1960s "Doctor Who" companion, a Space Security Service agent who travels with the First Doctor and Steven Taylor in the serial "The Daleks' Master Plan."
|
E1092067
|
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: Sara Kingdom | Statement: [Steven Taylor, associatedWith, Sara Kingdom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Kingdom Context triple: [Steven Taylor, associatedWith, Sara Kingdom]
-
A.
Sophia Kingdom
Sophia Kingdom was the wife of engineer Marc Isambard Brunel and the mother of famed Victorian engineer Isambard Kingdom Brunel.
-
B.
Reginae
Reginae is an American television personality and singer best known as the daughter of rapper Lil Wayne and reality star Toya Johnson.
-
C.
Alodia
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
-
D.
Solata
Solata is a small locality or hamlet within the municipality of Bucine in the Tuscany region of Italy.
-
E.
Everina
Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
- 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: Sara Kingdom Triple: [Steven Taylor, associatedWith, Sara Kingdom]
Generated description
Sara Kingdom is a 1960s "Doctor Who" companion, a Space Security Service agent who travels with the First Doctor and Steven Taylor in the serial "The Daleks' Master Plan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Kingdom Target entity description: Sara Kingdom is a 1960s "Doctor Who" companion, a Space Security Service agent who travels with the First Doctor and Steven Taylor in the serial "The Daleks' Master Plan."
-
A.
Sophia Kingdom
Sophia Kingdom was the wife of engineer Marc Isambard Brunel and the mother of famed Victorian engineer Isambard Kingdom Brunel.
-
B.
Reginae
Reginae is an American television personality and singer best known as the daughter of rapper Lil Wayne and reality star Toya Johnson.
-
C.
Alodia
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
-
D.
Solata
Solata is a small locality or hamlet within the municipality of Bucine in the Tuscany region of Italy.
-
E.
Everina
Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
- 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_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2697648190beade47df424a9e5 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd41335b308190b1d49b214d5206a1 |
completed | May 8, 2026, 1:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd41fcd8b08190802e54e1c18b58e2 |
completed | May 8, 2026, 1:53 a.m. |
Created at: April 10, 2026, 1:11 a.m.