Triple
T7714397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Field |
E174844
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | O. Nicholas Brown |
E147538
|
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: O. Nicholas Brown | Statement: [Love Field, editedBy, O. Nicholas Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O. Nicholas Brown Context triple: [Love Field, editedBy, O. Nicholas Brown]
-
A.
O. Nicholas Brown
chosen
O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
-
B.
Jonathan Brown
Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
-
C.
John Nicholas Brown I
John Nicholas Brown I was a prominent 19th-century American businessman and philanthropist from the influential Brown family of Rhode Island.
-
D.
Michael Henry Brown
Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
-
E.
Nicholas Proctor Brown
Nicholas Proctor Brown was a mountaineer known for making the first ascent of the Dent du Géant in the Mont Blanc massif of the Alps.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acd5e32c8190869834b21aeae8a7 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.