Triple
T11984221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Bloom |
E285235
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Josephine Bloom
Josephine Bloom is a character in the film and novel "Big Fish," known as the supportive and loving wife of Will Bloom.
|
E1006598
|
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: Josephine Bloom | Statement: [Will Bloom, spouse, Josephine Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josephine Bloom Context triple: [Will Bloom, spouse, Josephine Bloom]
-
A.
Josephine Hutchinson
Josephine Hutchinson was an American stage and film actress known for her work in Hollywood during the 1930s and 1940s, including roles in classic horror and dramatic films.
-
B.
Josephine Burge
Josephine Burge is best known as the widow of British actor Oliver Reed, whom she married shortly before his death.
-
C.
Josephine Owen
Josephine Owen was the wife of influential American psychologist and scientific editor James McKeen Cattell.
-
D.
Josephine Hull
Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
-
E.
Josephine Marcus
Josephine Marcus is a central figure in the Western film "Tombstone," portrayed as Wyatt Earp’s romantic interest and a strong-willed, independent woman.
- 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: Josephine Bloom Triple: [Will Bloom, spouse, Josephine Bloom]
Generated description
Josephine Bloom is a character in the film and novel "Big Fish," known as the supportive and loving wife of Will Bloom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josephine Bloom Target entity description: Josephine Bloom is a character in the film and novel "Big Fish," known as the supportive and loving wife of Will Bloom.
-
A.
Josephine Hutchinson
Josephine Hutchinson was an American stage and film actress known for her work in Hollywood during the 1930s and 1940s, including roles in classic horror and dramatic films.
-
B.
Josephine Burge
Josephine Burge is best known as the widow of British actor Oliver Reed, whom she married shortly before his death.
-
C.
Josephine Owen
Josephine Owen was the wife of influential American psychologist and scientific editor James McKeen Cattell.
-
D.
Josephine Hull
Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
-
E.
Josephine Marcus
Josephine Marcus is a central figure in the Western film "Tombstone," portrayed as Wyatt Earp’s romantic interest and a strong-willed, independent woman.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b78f55c81908c41bccdcecf2d22 |
completed | May 3, 2026, 12:48 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:46 p.m.