Triple
T21481141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalabar |
E529995
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Robin Thomas |
—
|
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: Robin Thomas | Statement: [Kalabar, portrayedBy, Robin Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Thomas Context triple: [Kalabar, portrayedBy, Robin Thomas]
-
A.
Robin Thomas
chosen
Robin Thomas is an American actor best known for his roles in film and television, including a prominent part in the Disney Channel movie "Halloweentown."
-
B.
Robin Cohn
Robin Cohn is a film producer best known for producing the documentary "Phil Ochs: There but for Fortune" about the influential American protest singer-songwriter.
-
C.
Tim Thomerson
Tim Thomerson is an American actor and comedian best known for his roles in cult science fiction and action films such as the "Trancers" series.
-
D.
David Cheatham
David Cheatham is an American politician who served as a Democratic member of the Indiana House of Representatives.
-
E.
Greer Childs
Greer Childs is a suave, image-obsessed male model and one of Nola Darling’s three lovers in Spike Lee’s film "She’s Gotta Have It."
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.