Triple
T15026392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lethal Weapon 3 |
E378226
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Lorna Cole
Lorna Cole is a tough, highly skilled Internal Affairs sergeant who becomes both a key ally and love interest to Martin Riggs in the action film "Lethal Weapon 3."
|
E1193348
|
NE FINISHED |
How this triple was built (4 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: Lorna Cole | Statement: [Lethal Weapon 3, character, Lorna Cole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorna Cole Context triple: [Lethal Weapon 3, character, Lorna Cole]
-
A.
Lorna Wells
Lorna Wells is an American costume designer best known as the wife of comedian and actor Cedric the Entertainer.
-
B.
Lorna Adams
Lorna Adams is best known as the wife of legendary American comedian and television pioneer Milton Berle.
-
C.
Lorna Cook
Lorna Cook is an American animator and film director best known for co-directing the animated feature "Spirit: Stallion of the Cimarron."
-
D.
Lisa Faulkner
Lisa Faulkner is an English actress, television presenter, and celebrity chef known for roles in British dramas and for winning Celebrity MasterChef.
-
E.
Lucinda Coxon
Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lorna Cole Triple: [Lethal Weapon 3, character, Lorna Cole]
Generated description
Lorna Cole is a tough, highly skilled Internal Affairs sergeant who becomes both a key ally and love interest to Martin Riggs in the action film "Lethal Weapon 3."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorna Cole Target entity description: Lorna Cole is a tough, highly skilled Internal Affairs sergeant who becomes both a key ally and love interest to Martin Riggs in the action film "Lethal Weapon 3."
-
A.
Lorna Wells
Lorna Wells is an American costume designer best known as the wife of comedian and actor Cedric the Entertainer.
-
B.
Lorna Adams
Lorna Adams is best known as the wife of legendary American comedian and television pioneer Milton Berle.
-
C.
Lorna Cook
Lorna Cook is an American animator and film director best known for co-directing the animated feature "Spirit: Stallion of the Cimarron."
-
D.
Lisa Faulkner
Lisa Faulkner is an English actress, television presenter, and celebrity chef known for roles in British dramas and for winning Celebrity MasterChef.
-
E.
Lucinda Coxon
Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
- F. None of above. chosen
Provenance (5 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46436048190b79d1d18a179617b |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe5ced2dc8190922b910d1a6c08d3 |
completed | May 10, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe687c204819092a4a8de0b9d624d |
completed | May 10, 2026, 1:59 a.m. |
Created at: April 10, 2026, 2:58 a.m.