Triple
T18621833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Barone |
E455169
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Matthew Glave
Matthew Glave is an American film and television actor known for roles in projects such as "The Wedding Singer," "Picket Fences," and numerous guest appearances on popular TV series.
|
E1336561
|
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: Matthew Glave | Statement: [Anita Barone, spouse, Matthew Glave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Glave Context triple: [Anita Barone, spouse, Matthew Glave]
-
A.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
B.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
C.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
-
D.
Matthew Skemp
Matthew Skemp is a contributor to the project or work titled "Unmap," likely involved in its creation or development.
-
E.
Matthew Rego
Matthew Rego is a theatrical producer best known as a co-founder of The Araca Group, a prominent Broadway and entertainment production company.
- 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: Matthew Glave Triple: [Anita Barone, spouse, Matthew Glave]
Generated description
Matthew Glave is an American film and television actor known for roles in projects such as "The Wedding Singer," "Picket Fences," and numerous guest appearances on popular TV series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Glave Target entity description: Matthew Glave is an American film and television actor known for roles in projects such as "The Wedding Singer," "Picket Fences," and numerous guest appearances on popular TV series.
-
A.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
B.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
C.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
-
D.
Matthew Skemp
Matthew Skemp is a contributor to the project or work titled "Unmap," likely involved in its creation or development.
-
E.
Matthew Rego
Matthew Rego is a theatrical producer best known as a co-founder of The Araca Group, a prominent Broadway and entertainment production company.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0146f48190a872032db6e660c6 |
completed | April 19, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05171182188190ba005ac35d530fe4 |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a051b5d1a4081909c261fe9fa75cd4e |
completed | May 14, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a051bd7fc988190937f57fc24082732 |
completed | May 14, 2026, 12:48 a.m. |
Created at: April 10, 2026, 11:46 a.m.