Triple
T8880189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel Havers |
E211388
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Kate Havers
Kate Havers is the daughter of English actor Nigel Havers.
|
E765538
|
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: Kate Havers | Statement: [Nigel Havers, hasChild, Kate Havers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Havers Context triple: [Nigel Havers, hasChild, Kate Havers]
-
A.
Kate Sacker
Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Sarah Eaves
Sarah Eaves was the partner and later wife of the renowned English printer and typographer John Baskerville, closely involved in his household and business affairs.
-
D.
Kate Mestitz
Kate Mestitz is an Australian psychologist best known for her long-term marriage to actor Guy Pearce.
-
E.
Heather Hach
Heather Hach is an American screenwriter and librettist best known for co-writing the 2003 film adaptation of "Freaky Friday" and the book for the Broadway musical "Legally Blonde."
- 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: Kate Havers Triple: [Nigel Havers, hasChild, Kate Havers]
Generated description
Kate Havers is the daughter of English actor Nigel Havers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Havers Target entity description: Kate Havers is the daughter of English actor Nigel Havers.
-
A.
Kate Sacker
Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Sarah Eaves
Sarah Eaves was the partner and later wife of the renowned English printer and typographer John Baskerville, closely involved in his household and business affairs.
-
D.
Kate Mestitz
Kate Mestitz is an Australian psychologist best known for her long-term marriage to actor Guy Pearce.
-
E.
Heather Hach
Heather Hach is an American screenwriter and librettist best known for co-writing the 2003 film adaptation of "Freaky Friday" and the book for the Broadway musical "Legally Blonde."
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61677c9c8190aa09dc2a05d4cf95 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba1809dc81909776f1268cae9004 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbacea9408190a38f14817437c382 |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb6235148190850865a734d55a6c |
completed | April 3, 2026, 1:06 p.m. |
Created at: March 30, 2026, 6:52 p.m.