Triple
T4197939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hiddleston |
E85997
|
entity |
| Predicate | hasSister |
P31639
|
FINISHED |
| Object |
Emma Hiddleston
Emma Hiddleston is a British actress and the younger sister of actor Tom Hiddleston.
|
E419303
|
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: Emma Hiddleston | Statement: [Tom Hiddleston, hasSister, Emma Hiddleston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Hiddleston Context triple: [Tom Hiddleston, hasSister, Emma Hiddleston]
-
A.
Hayley Atwell
Hayley Atwell is a British-American actress best known for portraying Peggy Carter in the Marvel Cinematic Universe.
-
B.
Emma Watson
Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
-
C.
Mae Clarke
Mae Clarke was an American film actress best known for her roles in early 1930s Hollywood classics, including Frankenstein and The Public Enemy.
-
D.
Isabella Astin
Isabella Astin is a daughter of American actor and filmmaker Sean Astin.
-
E.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
- 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: Emma Hiddleston Triple: [Tom Hiddleston, hasSister, Emma Hiddleston]
Generated description
Emma Hiddleston is a British actress and the younger sister of actor Tom Hiddleston.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Hiddleston Target entity description: Emma Hiddleston is a British actress and the younger sister of actor Tom Hiddleston.
-
A.
Hayley Atwell
Hayley Atwell is a British-American actress best known for portraying Peggy Carter in the Marvel Cinematic Universe.
-
B.
Emma Watson
Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
-
C.
Mae Clarke
Mae Clarke was an American film actress best known for her roles in early 1930s Hollywood classics, including Frankenstein and The Public Enemy.
-
D.
Isabella Astin
Isabella Astin is a daughter of American actor and filmmaker Sean Astin.
-
E.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0360bc8081908ceb2483eef89174 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a0ff2a08190ac7f89d306454ab8 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58aa95428819085048691c77e2aea |
completed | March 14, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b34c4e881909fd44fbe8acedda4 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 9, 2026, 3:48 p.m.