Triple
T1662716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Kirk |
E35944
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Malcolm Kirk |
E35944
|
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: Malcolm Kirk | Statement: [Malcolm Kirk, name, Malcolm Kirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Kirk Context triple: [Malcolm Kirk, name, Malcolm Kirk]
-
A.
Malcolm Kirk
chosen
Malcolm Kirk was an English professional wrestler known for his imposing size and for tragically dying in the ring during a match in 1987.
-
B.
Malcolm Ross
Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
-
C.
James Malcomson
James Malcomson is a British economist known for his contributions to labor economics and contract theory, including work on incentive structures and employment relationships.
-
D.
Malcolm Wilson
Malcolm Wilson was an American Republican politician who served as governor of New York in the early 1970s.
-
E.
Malcolm Waite
Malcolm Waite was an American silent film actor best remembered for his supporting roles in early Hollywood comedies, including Charlie Chaplin films.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90ab5d1a08190a3325ff203b573fb |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb93ea5481908f21378715bab13d |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:29 p.m.