Triple
T11151410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Malcolm |
E263793
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Kelly Curtis Malcolm |
E734316
|
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: Kelly Curtis Malcolm | Statement: [Ian Malcolm, hasChild, Kelly Curtis Malcolm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Curtis Malcolm Context triple: [Ian Malcolm, hasChild, Kelly Curtis Malcolm]
-
A.
Tamara Malcolm
Tamara Malcolm is a theatre practitioner best known for co-founding the Chipping Norton Theatre, a prominent regional arts venue in Oxfordshire, England.
-
B.
Kelly Curtis
chosen
Kelly Curtis is an American actress and producer known for her work in film and television and as a member of the Curtis acting family.
-
C.
Lisa Selkirk
Lisa Selkirk was an influential American linguist known for her foundational work in phonology and prosodic structure.
-
D.
Kelly Tarlton
Kelly Tarlton was a New Zealand marine archaeologist and diver best known for pioneering underwater attractions and founding the iconic Auckland aquarium that bears his name.
-
E.
Mona McKinnon
Mona McKinnon was an American actress best known for her role in Ed Wood’s cult science-fiction film "Plan 9 from Outer Space."
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4835928ac81909ca2addea6fc3b5f |
completed | April 19, 2026, 7:25 a.m. |
Created at: April 8, 2026, 9:28 p.m.