Triple
T16664651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendon (UK Parliament constituency) |
E404948
|
entity |
| Predicate | hasMP |
P14470
|
FINISHED |
| Object |
Matthew Offord
Matthew Offord is a British Conservative Party politician who has served as the Member of Parliament for the London constituency of Hendon.
|
E1226322
|
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: Matthew Offord | Statement: [Hendon (UK Parliament constituency), hasMP, Matthew Offord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Offord Context triple: [Hendon (UK Parliament constituency), hasMP, Matthew Offord]
-
A.
Andrew Hynes
Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
-
B.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
C.
Daniel O'Hara
Daniel O'Hara is a television director known for his work on various British drama series, including the adaptation of Harlan Coben's "The Stranger."
-
D.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
-
E.
Matthew Skemp
Matthew Skemp is a contributor to the project or work titled "Unmap," likely involved in its creation or development.
- 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: Matthew Offord Triple: [Hendon (UK Parliament constituency), hasMP, Matthew Offord]
Generated description
Matthew Offord is a British Conservative Party politician who has served as the Member of Parliament for the London constituency of Hendon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Offord Target entity description: Matthew Offord is a British Conservative Party politician who has served as the Member of Parliament for the London constituency of Hendon.
-
A.
Andrew Hynes
Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
-
B.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
C.
Daniel O'Hara
Daniel O'Hara is a television director known for his work on various British drama series, including the adaptation of Harlan Coben's "The Stranger."
-
D.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
E.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9be0688190afda306cde934c68 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084d21ed4819089fc70f92653694d |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a0085e04fc08190b974be9d6e27413d |
completed | May 10, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00868e55dc8190bfc7cd1b78ec4d6d |
completed | May 10, 2026, 1:22 p.m. |
Created at: April 10, 2026, 5:18 a.m.