Triple
T18082034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreman Field |
E432713
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Foreman |
—
|
NE NERFINISHED |
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: Foreman | Statement: [Foreman Field, namedAfter, Foreman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foreman Context triple: [Foreman Field, namedAfter, Foreman]
-
A.
Foreman
chosen
Foreman is a surname most notably associated with individuals such as American screenwriter and film producer Carl Foreman.
-
B.
Foreman
Foreman is an open-source lifecycle management and provisioning tool for physical and virtual servers, commonly used to automate system configuration and deployment.
-
C.
Freeman Meskimen
Freeman Meskimen was an American actor and the husband of actress Marion Ross.
-
D.
Thaddeus Farrow
Thaddeus Farrow was one of Mia Farrow’s adopted children, known publicly mainly through his connection to the Farrow family and his tragic death in 2016.
-
E.
Antony Firingee
Antony Firingee is a 1967 Bengali biographical musical drama film starring Uttam Kumar as a Portuguese-born poet who embraces Bengali culture and faces social opposition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fb42888190919fe711a281bd7c |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.