Triple
T14584476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Torry |
E342278
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Torry
Torry is a surname most notably associated with American comedian and actor Joe Torry.
|
E1108235
|
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: Torry | Statement: [Joe Torry, familyName, Torry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torry Context triple: [Joe Torry, familyName, Torry]
-
A.
Torrence
Torrence is a Scottish surname most notably associated with silent film and early Hollywood character actor Ernest Torrence.
-
B.
Tyner
Tyner is the surname of renowned American jazz pianist and composer McCoy Tyner, closely associated with the John Coltrane Quartet and influential modal jazz recordings.
-
C.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
-
D.
Treveris
Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
-
E.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
- 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: Torry Triple: [Joe Torry, familyName, Torry]
Generated description
Torry is a surname most notably associated with American comedian and actor Joe Torry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torry Target entity description: Torry is a surname most notably associated with American comedian and actor Joe Torry.
-
A.
Torrence
Torrence is a Scottish surname most notably associated with silent film and early Hollywood character actor Ernest Torrence.
-
B.
Tyner
Tyner is the surname of renowned American jazz pianist and composer McCoy Tyner, closely associated with the John Coltrane Quartet and influential modal jazz recordings.
-
C.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
-
D.
Treveris
Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
-
E.
Tavon
Tavon is a masculine given name, often used in the United States and associated with several contemporary public figures and athletes.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4209b988190ad2a7b2dead8ffed |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bbe6208190af9cd131c147e321 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd984e0e6c819089d967234c5245ee |
completed | May 8, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98cf0bcc81909dac826a32daaf04 |
completed | May 8, 2026, 8:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.