Triple
T14711948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cape |
E345566
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | David Lyons |
E548399
|
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: David Lyons | Statement: [The Cape, stars, David Lyons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lyons Context triple: [The Cape, stars, David Lyons]
-
A.
David Lyons
chosen
David Lyons is an Australian actor known for his roles in television series such as "Seven Seconds," "Revolution," and "ER."
-
B.
Daniel Lyons
Daniel Lyons is a fictional character from the British television drama series "Years and Years," portrayed by actor Russell Tovey.
-
C.
Michael Lyons
Michael Lyons is a British public servant and former chairman of the BBC Trust, known for his leadership roles in local government and public sector organizations.
-
D.
Stephen Lyons
Stephen Lyons is a central character in the British drama series "Years and Years," which follows a Manchester family navigating rapid social and political changes over several decades.
-
E.
Stephen Lyons
Stephen Lyons is a person known primarily as a family member of Daniel Lyons.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968124d481909dd89dd9282788b7 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:28 a.m.