Triple
T12911369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beast Boy |
E308871
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Bob Brown |
E573512
|
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: Bob Brown | Statement: [Beast Boy, createdBy, Bob Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Brown Context triple: [Beast Boy, createdBy, Bob Brown]
-
A.
Bob Brown
Bob Brown is the central protagonist of the television series "The Unit," around whom the show's military and personal storylines primarily revolve.
-
B.
Bob Brown
chosen
Bob Brown was an American comic book artist known for his work at DC Comics, including co-creating the character Talia al Ghul.
-
C.
Paul Ramsay
Paul Ramsay was an Australian businessman and philanthropist best known for founding Ramsay Health Care, one of the largest private hospital operators in the world.
-
D.
Ian Simpson
Ian Simpson is a British architect best known for designing prominent contemporary buildings in Manchester, including the landmark Beetham Tower.
-
E.
Andrew Wilkie
Andrew Wilkie is an Australian politician and former intelligence officer known for his high-profile resignation over the Iraq War and subsequent advocacy for government accountability and civil liberties.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719f96248190b746f9d4a468560c |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56b50b48190a0deefd491ed8c4a |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.