Triple
T13484512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Stott |
E318459
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rebus |
E733527
|
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: Rebus | Statement: [Ken Stott, notableWork, Rebus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebus Context triple: [Ken Stott, notableWork, Rebus]
-
A.
Rebus
chosen
Rebus is a British television crime drama series based on Ian Rankin’s Inspector Rebus novels, featuring John Hannah in the title role in its early adaptations.
-
B.
Calligrams
Calligrams is a specialized imprint of New York Review Books focused on publishing distinctive literary and intellectual works, often in translation.
-
C.
Letterfrack
Letterfrack is a small village in Connemara, County Galway, Ireland, known as a gateway to Connemara National Park and the nearby Twelve Bens mountain range.
-
D.
CrissCross
CrissCross is a 1992 American drama film set in 1969 Florida, following a struggling single mother and her young son who becomes involved in drug smuggling to help support them.
-
E.
Wordstruck
Wordstruck is a memoir by journalist and author Robert MacNeil that reflects on his lifelong love of language and the formative power of words.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.