Triple
T13434804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding Forrester |
E320201
|
entity |
| Predicate | star |
P23405
|
FINISHED |
| Object | Rob Brown |
E671196
|
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: Rob Brown | Statement: [Finding Forrester, star, Rob Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Brown Context triple: [Finding Forrester, star, Rob Brown]
-
A.
Rob Brown
chosen
Rob Brown is an American actor best known for his film debut in "Finding Forrester" and his role as a high school basketball player in "Coach Carter."
-
B.
Russ Brown
Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
-
C.
Brad Brown
Brad Brown is the young protagonist who battles the carnivorous alien creatures in the horror-comedy film series "Critters," including "Critters 2: The Main Course."
-
D.
Greg Brown
Greg Brown is an American ice hockey coach and former defenseman best known for leading the Boston College Eagles men's hockey program.
-
E.
Donald Brown
Donald Brown is a fictional character from the novel and film "National Velvet," known as one of Velvet Brown’s brothers in the Brown family.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942242cc8190aa94efae75370328 |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:40 p.m.