Triple
T19968921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susie Bick |
E480016
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object |
Susie Cave
Susie Cave is a British fashion designer, former model, and founder of the cult label The Vampire’s Wife, as well as the wife of musician Nick Cave.
|
E1405219
|
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: Susie Cave | Statement: [Susie Bick, knownAs, Susie Cave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susie Cave Context triple: [Susie Bick, knownAs, Susie Cave]
-
A.
Alison Surtees
Alison Surtees is a notable individual recognized for her association with the Surtees family name.
-
B.
Geraldine James
Geraldine James is an English actress known for her extensive work in film, television, and theatre, including acclaimed roles in productions such as "Made in Dagenham," "Gandhi," and "Downton Abbey."
-
C.
Deborah Kay Elms
Deborah Kay Elms is an international trade and policy expert who serves as Chairperson of the Executive Board of UNESCO.
-
D.
Lissa Evans
Lissa Evans is a British author and former television director and producer, known for her witty, character-driven novels for both adults and children.
-
E.
Alison Leggatt
Alison Leggatt was a British character actress known for her work in mid-20th-century film, theatre, and television.
- 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: Susie Cave Triple: [Susie Bick, knownAs, Susie Cave]
Generated description
Susie Cave is a British fashion designer, former model, and founder of the cult label The Vampire’s Wife, as well as the wife of musician Nick Cave.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susie Cave Target entity description: Susie Cave is a British fashion designer, former model, and founder of the cult label The Vampire’s Wife, as well as the wife of musician Nick Cave.
-
A.
Alison Surtees
Alison Surtees is a notable individual recognized for her association with the Surtees family name.
-
B.
Geraldine James
Geraldine James is an English actress known for her extensive work in film, television, and theatre, including acclaimed roles in productions such as "Made in Dagenham," "Gandhi," and "Downton Abbey."
-
C.
Deborah Kay Elms
Deborah Kay Elms is an international trade and policy expert who serves as Chairperson of the Executive Board of UNESCO.
-
D.
Lissa Evans
Lissa Evans is a British author and former television director and producer, known for her witty, character-driven novels for both adults and children.
-
E.
Alison Leggatt
Alison Leggatt was a British character actress known for her work in mid-20th-century film, theatre, and television.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc7c2fc81909b89c549a5f99e4c |
completed | April 20, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0804f72b288190ae03a856d3581508 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0805ff590c8190afe9f275675cbb27 |
completed | May 16, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0806ab6cdc8190bd11822e0f5426cc |
completed | May 16, 2026, 5:54 a.m. |
Created at: April 10, 2026, 1:54 p.m.