Triple
T12106784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surtees |
E288323
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Alison Surtees
Alison Surtees is a notable individual recognized for her association with the Surtees family name.
|
E970119
|
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: Alison Surtees | Statement: [Surtees, hasNotableBearer, Alison Surtees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Surtees Context triple: [Surtees, hasNotableBearer, Alison Surtees]
-
A.
Suzanne Surtees
Suzanne Surtees is the daughter of acclaimed American cinematographer Bruce Surtees.
-
B.
Alison Owen
Alison Owen is a British film producer known for acclaimed works such as "Elizabeth," "Shaun of the Dead," and "Saving Mr. Banks."
-
C.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
-
D.
Kate Harwood
Kate Harwood is a British television producer and executive known for her work on high-profile drama series, including the acclaimed crime drama "Luther."
-
E.
Alison Mundy
Alison Mundy is the troubled, reluctant medium at the center of the British supernatural drama series "Afterlife," known for her intense encounters with the dead and emotional struggles with her gift.
- 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: Alison Surtees Triple: [Surtees, hasNotableBearer, Alison Surtees]
Generated description
Alison Surtees is a notable individual recognized for her association with the Surtees family name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alison Surtees Target entity description: Alison Surtees is a notable individual recognized for her association with the Surtees family name.
-
A.
Suzanne Surtees
Suzanne Surtees is the daughter of acclaimed American cinematographer Bruce Surtees.
-
B.
Alison Owen
Alison Owen is a British film producer known for acclaimed works such as "Elizabeth," "Shaun of the Dead," and "Saving Mr. Banks."
-
C.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
-
D.
Kate Harwood
Kate Harwood is a British television producer and executive known for her work on high-profile drama series, including the acclaimed crime drama "Luther."
-
E.
Alison Mundy
Alison Mundy is the troubled, reluctant medium at the center of the British supernatural drama series "Afterlife," known for her intense encounters with the dead and emotional struggles with her gift.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91561eaec819096ba00682d81f41a |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7330c481909e06468be517cf5f |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60c9276d0819086b5f7712fe8d6e6 |
completed | May 2, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d4889d48190b2dfda8a0978cc72 |
completed | May 2, 2026, 2:42 p.m. |
Created at: April 8, 2026, 9:49 p.m.