Triple
T16652338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Padbury |
E404636
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zoe Heriot |
E378480
|
NE FINISHED |
How this triple was built (2 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: Zoe Heriot | Statement: [Wendy Padbury, notableWork, Zoe Heriot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoe Heriot Context triple: [Wendy Padbury, notableWork, Zoe Heriot]
-
A.
Zoe Heriot
chosen
Zoe Heriot is a brilliant young astrophysicist and companion of the Second Doctor in the classic British science fiction series Doctor Who.
-
B.
Yvette Livesey
Yvette Livesey is a former Miss United Kingdom and music industry figure best known as the long-term partner of Manchester music impresario Tony Wilson and co-organizer of the In the City music conference.
-
C.
Jane Livesey
Jane Livesey is best known as the wife of the late English actor Bob Hoskins.
-
D.
Dora Jessie Saint
Dora Jessie Saint, better known by her pen name Miss Read, was an English novelist celebrated for her gentle, nostalgic portrayals of rural village life in series such as the Fairacre and Thrush Green books.
-
E.
Ellen Allerton
Ellen Allerton was a 19th-century American poet and writer known for her regional verse and depictions of frontier and rural life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf7ae7c81908b6807acd8f1669b |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c4c6a08190874264b2840fc70d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.