Triple
T9724359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lindsay |
E235565
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Lindsay |
E235565
|
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 Lindsay | Statement: [Robert Lindsay, name, Robert Lindsay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Lindsay Context triple: [Robert Lindsay, name, Robert Lindsay]
-
A.
Robert Lindsay
chosen
Robert Lindsay is an English actor known for his versatile performances in television, film, and theatre, including prominent roles in series such as "My Family" and acclaimed stage productions.
-
B.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
C.
Robert Donaldson
Robert Donaldson is a notable figure in whose honor the Donaldson Award was established, recognizing significant contributions in his field.
-
D.
Paul Duguid
Paul Duguid is a scholar of information studies and co-author of the influential book "The Social Life of Information" with John Seely Brown.
-
E.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e77096481908ffd315fecb1d5ec |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eabcf3148190b25e4f816f4dcd13 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:21 p.m.