Triple
T6361932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas King |
E143130
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | King |
E1611
|
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: King | Statement: [Thomas King, familyName, King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Context triple: [Thomas King, familyName, King]
-
A.
King
The King of Norway is the constitutional monarch and ceremonial head of state in Norway’s parliamentary system.
-
B.
King
King is a masculine given name, historically associated with leadership or nobility and occasionally used as a first name in English-speaking countries.
-
C.
King
chosen
King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
-
D.
King
The King of the Netherlands is the hereditary head of state who formally embodies the monarchy within the country’s constitutional system.
-
E.
King
King is a prominent video game company best known for creating the massively popular mobile puzzle game Candy Crush Saga.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680c02b481908618317566e31a5c |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d6d906481908b5883bff18ceec8 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.