Triple
T14807023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanda De Jesus |
E348063
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kingpin
Kingpin is a 2003 television film that dramatizes the rise and fall of a powerful Mexican drug lord and his cartel.
|
E1120264
|
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: Kingpin | Statement: [Wanda De Jesus, notableWork, Kingpin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingpin Context triple: [Wanda De Jesus, notableWork, Kingpin]
-
A.
Kingpin
Kingpin is a powerful crime lord in the Marvel Universe, best known as a major adversary of heroes like Spider-Man and Daredevil.
-
B.
Kingpin
Kingpin is a 1996 sports comedy film about a washed-up former bowling prodigy who mentors an Amish bowling talent, known for its offbeat humor and cult following.
-
C.
Kingpin Suite
Kingpin Suite is a luxury, bowling-themed hotel suite in Las Vegas known for its in-room bowling lanes and over-the-top entertainment amenities.
-
D.
Street Kings
Street Kings is a 2008 crime thriller film about corruption and moral conflict within the Los Angeles Police Department, starring Keanu Reeves and directed by David Ayer.
-
E.
The Gangster
The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
- 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: Kingpin Triple: [Wanda De Jesus, notableWork, Kingpin]
Generated description
Kingpin is a 2003 television film that dramatizes the rise and fall of a powerful Mexican drug lord and his cartel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kingpin Target entity description: Kingpin is a 2003 television film that dramatizes the rise and fall of a powerful Mexican drug lord and his cartel.
-
A.
Kingpin
Kingpin is a 1996 sports comedy film about a washed-up former bowling prodigy who mentors an Amish bowling talent, known for its offbeat humor and cult following.
-
B.
Kingpin
Kingpin is a powerful crime lord in the Marvel Universe, best known as a major adversary of heroes like Spider-Man and Daredevil.
-
C.
Kingpin Suite
Kingpin Suite is a luxury, bowling-themed hotel suite in Las Vegas known for its in-room bowling lanes and over-the-top entertainment amenities.
-
D.
Street Kings
Street Kings is a 2008 crime thriller film about corruption and moral conflict within the Los Angeles Police Department, starring Keanu Reeves and directed by David Ayer.
-
E.
The Gangster
The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe28222dc48190bca61ea273172950 |
completed | May 8, 2026, 6:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe28ba11a4819092e13669c53e6ecd |
completed | May 8, 2026, 6:17 p.m. |
Created at: April 10, 2026, 1:41 a.m.