Triple
T8987494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Hurley |
E214704
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Damian Hurley
Damian Hurley is a British model and actor, best known as the son of actress Elizabeth Hurley and for his work in fashion campaigns and television.
|
E771252
|
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: Damian Hurley | Statement: [Elizabeth Hurley, child, Damian Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damian Hurley Context triple: [Elizabeth Hurley, child, Damian Hurley]
-
A.
Damien Lord
Damien Lord is a ruthless and manipulative crime boss from the neo-noir action film "The Equalizer."
-
B.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
C.
Andrew Butler
Andrew Butler was a 19th-century U.S. senator from South Carolina known for his strong pro-slavery stance and as a target of abolitionist criticism in the years leading up to the Civil War.
-
D.
Jon Davison
Jon Davison is a British video game journalist and media executive known for his work at outlets such as GamePro, 1UP, and IGN.
-
E.
Jon Davison
Jon Davison is an American musician best known as the lead vocalist of the progressive rock band Yes.
- 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: Damian Hurley Triple: [Elizabeth Hurley, child, Damian Hurley]
Generated description
Damian Hurley is a British model and actor, best known as the son of actress Elizabeth Hurley and for his work in fashion campaigns and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damian Hurley Target entity description: Damian Hurley is a British model and actor, best known as the son of actress Elizabeth Hurley and for his work in fashion campaigns and television.
-
A.
Damien Lord
Damien Lord is a ruthless and manipulative crime boss from the neo-noir action film "The Equalizer."
-
B.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
C.
Andrew Butler
Andrew Butler was a 19th-century U.S. senator from South Carolina known for his strong pro-slavery stance and as a target of abolitionist criticism in the years leading up to the Civil War.
-
D.
Jon Davison
Jon Davison is a British video game journalist and media executive known for his work at outlets such as GamePro, 1UP, and IGN.
-
E.
Jon Davison
Jon Davison is an American film producer best known for his work on satirical and science fiction films such as "Starship Troopers" and "RoboCop."
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ef19108190ac518c4f744b6d60 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c155cc819087f1060454da38e5 |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd15c82208190adc11bc6ab1b959b |
completed | April 3, 2026, 2:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd1eb7f588190a7b7a4ccb48a51d9 |
completed | April 3, 2026, 2:42 p.m. |
Created at: March 30, 2026, 7:04 p.m.