Triple
T109501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Balinhard |
E2213
|
entity |
| Predicate | nobleRank |
P914
|
FINISHED |
| Object | Baron |
E2213
|
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: Baron | Statement: [Baron Balinhard, nobleRank, Baron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baron Context triple: [Baron Balinhard, nobleRank, Baron]
-
A.
Baron Balinhard
chosen
Baron Balinhard is a Scottish peerage title historically associated with the noble family of the Earls of Southesk.
-
B.
Lord Selborne
Lord Selborne was a British statesman and Conservative politician who held several high offices in the late 19th and early 20th centuries, including leadership roles in naval administration and colonial governance.
-
C.
Lord
Lord is a reverential title for Jesus Christ, emphasizing his divine authority, sovereignty, and central role in Christian faith and worship.
-
D.
Alba, Duke of Alba
Alba, Duke of Alba, was a prominent 16th-century Spanish general and statesman best known for his harsh rule in the Netherlands and his role in suppressing early stages of the Dutch Revolt.
-
E.
Goodwin Knight
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ce54b48190a3337f5f45d82859 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a275e81aa48190827b634822e25058 |
completed | Feb. 28, 2026, 4:58 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.