Triple
T10527475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopez vs Lopez |
E248343
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Matt Shively
Matt Shively is an American actor best known for his comedic roles on television, including his co-starring role in the sitcom "Lopez vs Lopez."
|
E892002
|
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: Matt Shively | Statement: [Lopez vs Lopez, starring, Matt Shively]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Shively Context triple: [Lopez vs Lopez, starring, Matt Shively]
-
A.
Matt Sherring
Matt Sherring is a screenwriter best known for writing the action thriller film "Killer Elite."
-
B.
Matthew Shoemaker
Matthew Shoemaker is a Canadian municipal politician serving as the mayor of Sault Ste. Marie, Ontario.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
E.
Josh Schaeffer
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
- 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: Matt Shively Triple: [Lopez vs Lopez, starring, Matt Shively]
Generated description
Matt Shively is an American actor best known for his comedic roles on television, including his co-starring role in the sitcom "Lopez vs Lopez."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Shively Target entity description: Matt Shively is an American actor best known for his comedic roles on television, including his co-starring role in the sitcom "Lopez vs Lopez."
-
A.
Matt Sherring
Matt Sherring is a screenwriter best known for writing the action thriller film "Killer Elite."
-
B.
Matthew Shoemaker
Matthew Shoemaker is a Canadian municipal politician serving as the mayor of Sault Ste. Marie, Ontario.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
E.
Josh Schaeffer
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154529dd08190abbfc8d8281a642f |
completed | April 16, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69e17d3060888190b3801272835b939a |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1806bc1048190bcbff6f6d3d7da19 |
completed | April 17, 2026, 12:35 a.m. |
Created at: April 6, 2026, 12:29 p.m.