Triple
T22547340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace Chophouse |
E557461
|
entity |
| Predicate | hasPerpetrator |
P698
|
FINISHED |
| Object |
Mendy Weiss
Mendy Weiss was an American mobster and hitman associated with Murder, Inc., active in organized crime during the early 20th century.
|
E1541400
|
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: Mendy Weiss | Statement: [Palace Chophouse, hasPerpetrator, Mendy Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mendy Weiss Context triple: [Palace Chophouse, hasPerpetrator, Mendy Weiss]
-
A.
Benjie Weiss
Benjie Weiss is a troubled teen movie star in David Cronenberg’s film "Maps to the Stars," embodying the dark side of Hollywood child celebrity culture.
-
B.
Jordan Weiss
Jordan Weiss is a television writer and producer best known for creating the comedy series "Dollface."
-
C.
Mitchell Lichtenstein
Mitchell Lichtenstein is an American actor and filmmaker known for roles in independent cinema and for directing the cult horror-comedy film "Teeth."
-
D.
Andrew Mondshein
Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
-
E.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
- 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: Mendy Weiss Triple: [Palace Chophouse, hasPerpetrator, Mendy Weiss]
Generated description
Mendy Weiss was an American mobster and hitman associated with Murder, Inc., active in organized crime during the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mendy Weiss Target entity description: Mendy Weiss was an American mobster and hitman associated with Murder, Inc., active in organized crime during the early 20th century.
-
A.
Benjie Weiss
Benjie Weiss is a troubled teen movie star in David Cronenberg’s film "Maps to the Stars," embodying the dark side of Hollywood child celebrity culture.
-
B.
Jordan Weiss
Jordan Weiss is a television writer and producer best known for creating the comedy series "Dollface."
-
C.
Mitchell Lichtenstein
Mitchell Lichtenstein is an American actor and filmmaker known for roles in independent cinema and for directing the cult horror-comedy film "Teeth."
-
D.
Andrew Mondshein
Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
-
E.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1deccca48190aba8c7913a769101 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1e9bb68481909945905b369247f0 |
completed | May 18, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1efb36ac8190a4a9c3005ee58d23 |
completed | May 18, 2026, 2:15 p.m. |
Created at: April 16, 2026, 8:52 p.m.