Triple
T18834489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Harris |
E460622
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brad Harris |
E460622
|
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: Brad Harris | Statement: [Brad Harris, name, Brad Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Harris Context triple: [Brad Harris, name, Brad Harris]
-
A.
Brad Harris
chosen
Brad Harris was an American actor and stuntman best known for his roles in European action and adventure films of the 1960s and 1970s.
-
B.
Craig Harris
Craig Harris is an American jazz trombonist and composer known for his innovative work in avant-garde jazz and film scores, including the soundtrack for "Judas and the Black Messiah."
-
C.
Tim Haines
Tim Haines is a British television producer and director best known for creating groundbreaking prehistoric and natural history series that blend documentary storytelling with cutting-edge visual effects.
-
D.
Keith Harris
Keith Harris is an American record producer, songwriter, and multi-instrumentalist best known for his work with major pop and R&B artists such as the Black Eyed Peas.
-
E.
Keith Harris
Keith Harris is a writer known for his contributions to the music and entertainment publication OMG.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575ade5988190aa12b36e5ae45fc0 |
completed | May 14, 2026, 7:11 a.m. |
Created at: April 10, 2026, 11:56 a.m.