Triple
T2040150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowan Williams |
E44723
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Pip Williams
Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
|
E229499
|
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: Pip Williams | Statement: [Rowan Williams, hasChild, Pip Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pip Williams Context triple: [Rowan Williams, hasChild, Pip Williams]
-
A.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
B.
Pip Torrens
Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
-
C.
Crispin Struthers
Crispin Struthers is a film editor best known for his Academy Award–nominated work on acclaimed movies such as "Silver Linings Playbook."
-
D.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
E.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
- 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: Pip Williams Triple: [Rowan Williams, hasChild, Pip Williams]
Generated description
Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pip Williams Target entity description: Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
-
A.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
B.
Pip Torrens
Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
-
C.
Crispin Struthers
Crispin Struthers is a film editor best known for his Academy Award–nominated work on acclaimed movies such as "Silver Linings Playbook."
-
D.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
E.
Christopher Blake
Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9533bd881909e3aecff7ddb5a8b |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ff92928819093f42f0fe4a935b3 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae20efd4dc8190addf69c80a33d247 |
completed | March 9, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae21b4ce248190bbd7542592db0ec4 |
completed | March 9, 2026, 1:26 a.m. |
Created at: March 4, 2026, 7:39 p.m.