Triple
T11984196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Bloom |
E285234
|
entity |
| Predicate | centralConflictWith |
P5022
|
FINISHED |
| Object | Will Bloom |
E285235
|
NE FINISHED |
How this triple was built (2 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: Will Bloom | Statement: [Edward Bloom, centralConflictWith, Will Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Bloom Context triple: [Edward Bloom, centralConflictWith, Will Bloom]
-
A.
Will Bloom
chosen
Will Bloom is the introspective son in the film "Big Fish," whose strained relationship with his storytelling father drives the movie’s exploration of truth, memory, and family.
-
B.
Tony Bloom
Tony Bloom is an English professional sports bettor, poker player, and businessman best known as the long-time owner and transformative chairman of Brighton & Hove Albion Football Club.
-
C.
Brian Bloom
Brian Bloom is an American actor and screenwriter known for his work in film, television, and video games, including co-writing and appearing in the 2010 adaptation of The A-Team.
-
D.
Stephen Bloom
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
-
E.
Steve Bloom
Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f48aa73458819097a69b371350743c |
completed | May 1, 2026, 11:12 a.m. |
Created at: April 8, 2026, 9:46 p.m.