Triple
T3328145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Brolin |
E69966
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Trevor Brolin |
E349306
|
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: Trevor Brolin | Statement: [Josh Brolin, child, Trevor Brolin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trevor Brolin Context triple: [Josh Brolin, child, Trevor Brolin]
-
A.
Brolin
chosen
Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
-
B.
Bradley Witherspoon
Bradley Witherspoon is an individual notable enough to be recognized as a bearer of the surname Witherspoon, though specific widely known achievements or roles are not clearly documented.
-
C.
Eric Palicki
Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
-
D.
Ken Daurio
Ken Daurio is an American screenwriter best known for co-writing popular animated films such as Despicable Me, The Lorax, and The Secret Life of Pets.
-
E.
Jeffrey Dean
Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16f61248190bab10f4ac9e066f7 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33423dc288190b71eaa1c0feb26eb |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:12 p.m.