Triple
T14287581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School Reunion |
E354213
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Benjamin Smith
Benjamin Smith is an actor known for his role in the British television drama "School Reunion."
|
E1093188
|
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: Benjamin Smith | Statement: [School Reunion, featuresActor, Benjamin Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Smith Context triple: [School Reunion, featuresActor, Benjamin Smith]
-
A.
Benjamin Heath
Benjamin Heath was an 18th-century English classical scholar and critic known for his work on Greek and Latin literature.
-
B.
Benjamin Morton
Benjamin Morton is an actor known for appearing in the holiday-themed romantic comedy film "The Perfect Holiday."
-
C.
Benjamin Griffith
Benjamin Griffith was an early settler and landowner whose contributions to the area led to the Indiana town of Griffith being named in his honor.
-
D.
Benjamin Woodward
Benjamin Woodward was a 19th-century Irish architect known for his influential Gothic Revival designs and his role in the firm Deane and Woodward.
-
E.
Benjamin Russell
Benjamin Russell was an American journalist and newspaper editor credited with popularizing the term "Era of Good Feelings" to describe the period of political harmony following the War of 1812.
- 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: Benjamin Smith Triple: [School Reunion, featuresActor, Benjamin Smith]
Generated description
Benjamin Smith is an actor known for his role in the British television drama "School Reunion."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benjamin Smith Target entity description: Benjamin Smith is an actor known for his role in the British television drama "School Reunion."
-
A.
Benjamin Heath
Benjamin Heath was an 18th-century English classical scholar and critic known for his work on Greek and Latin literature.
-
B.
Benjamin Morton
Benjamin Morton is an actor known for appearing in the holiday-themed romantic comedy film "The Perfect Holiday."
-
C.
Benjamin Griffith
Benjamin Griffith was an early settler and landowner whose contributions to the area led to the Indiana town of Griffith being named in his honor.
-
D.
Benjamin Woodward
Benjamin Woodward was a 19th-century Irish architect known for his influential Gothic Revival designs and his role in the firm Deane and Woodward.
-
E.
Benjamin Russell
Benjamin Russell was an American journalist and newspaper editor credited with popularizing the term "Era of Good Feelings" to describe the period of political harmony following the War of 1812.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467f3b3081908261261301674c4e |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4758c4c88190a01d1482585cee8d |
completed | May 8, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd47ae4ae88190a25e793b2cbe8d80 |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 10, 2026, 1:11 a.m.