Triple
T8084179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maverick |
E188689
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Robert Colbert |
E607615
|
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: Robert Colbert | Statement: [Maverick, leadActor, Robert Colbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Colbert Context triple: [Maverick, leadActor, Robert Colbert]
-
A.
Robert Colbert
chosen
Robert Colbert is an American actor best known for his role as Dr. Doug Phillips on the 1960s science fiction television series "The Time Tunnel."
-
B.
Sean Hannity
Sean Hannity is a conservative American television and radio host best known for his long-running prime-time show on Fox News.
-
C.
Stephen Colbert
Stephen Colbert is an American comedian, writer, producer, political satirist, and television host best known for his work on "The Colbert Report" and "The Late Show with Stephen Colbert."
-
D.
Pete Nance
Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
-
E.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415e61ac81909e924aea69a7ff77 |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93f6eb9c8190b33210621d215d56 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:29 p.m.