Triple
T16329229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Merlyn |
E396503
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Malcolm |
E95676
|
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 | Statement: [Malcolm Merlyn, givenName, Malcolm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Context triple: [Malcolm Merlyn, givenName, Malcolm]
-
A.
Malcolm
Malcolm is the central child protagonist of the 2016 horror film "The Boy," around whom the movie’s eerie and suspenseful events revolve.
-
B.
Malcolm
chosen
Malcolm is a masculine given name of Scottish origin, traditionally meaning "disciple of Saint Columba."
-
C.
Malcolm
Malcolm is a central human character in "Dawn of the Planet of the Apes," portrayed as a compassionate leader who strives to build peace and cooperation between humans and the intelligent apes.
-
D.
Malcolm
Malcolm is the highly intelligent, often sarcastic middle child and main protagonist of the sitcom "Malcolm in the Middle."
-
E.
Malcolm
Malcolm is a 1986 Australian comedy film about a socially awkward but brilliant inventor who becomes involved in an elaborate bank heist.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da915ac8190820acbe0db72c8a1 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.