Triple
T15656601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Lance Sweets |
E376457
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Seeley Booth |
E1161133
|
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: Seeley Booth | Statement: [Dr. Lance Sweets, worksWith, Seeley Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seeley Booth Context triple: [Dr. Lance Sweets, worksWith, Seeley Booth]
-
A.
Seeley Booth
chosen
Seeley Booth is a charismatic FBI Special Agent and former Army sniper who partners with forensic anthropologist Temperance "Bones" Brennan to solve crimes in the TV series "Bones."
-
B.
Emily Prentiss
Emily Prentiss is a seasoned FBI profiler known for her intelligence, resilience, and complex backstory on the crime drama series "Criminal Minds."
-
C.
Jordan Baxter
Jordan Baxter is a fictional character portrayed by actor Graham Phillips, best known from his work in film and television.
-
D.
Robert Coddington
Robert Coddington is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the Coddington surname.
-
E.
Rosalie Ludlow
Rosalie Ludlow was the wife of renowned 19th-century American landscape painter Albert Bierstadt and a figure within the cultural circles surrounding his artistic career.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef1f83c8190bbf65eed162cbd55 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67994fbc819090f2da267888e8fb |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:15 a.m.