Triple
T16371934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kildare Rebellion |
E397584
|
entity |
| Predicate | leader |
P981
|
FINISHED |
| Object | Silken Thomas |
E397585
|
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: Silken Thomas | Statement: [Kildare Rebellion, leader, Silken Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silken Thomas Context triple: [Kildare Rebellion, leader, Silken Thomas]
-
A.
Silken Thomas
chosen
Silken Thomas was an Irish nobleman best known for leading a major 1534 rebellion against English rule in Ireland.
-
B.
Lee Thomas
Lee Thomas is a television producer known for his work on the British crime drama series "White House Farm."
-
C.
Sandy Williams
Sandy Williams is the naive yet courageous small-town college student Laura Dern portrays in David Lynch’s neo-noir film "Blue Velvet."
-
D.
Deverill Weekes
Deverill Weekes is a photographer and filmmaker best known for his work on projects associated with actress Juliet Landau and various genre-related productions.
-
E.
Cheryl Thomas
Cheryl Thomas is a prominent legal scholar and professor at University College London known for her influential research on juries, judicial decision-making, and the justice system.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff420d04819096ff12e08edf2f8b |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035600420819087c909a615d205a2 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.