Triple
T1407424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac |
E31724
|
entity |
| Predicate | notableRelationship |
P1481
|
FINISHED |
| Object |
Ty Finn
Ty Finn is a person primarily known in relation to Isaac, with whom he has a notable personal connection.
|
E164060
|
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: Ty Finn | Statement: [Isaac, notableRelationship, Ty Finn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ty Finn Context triple: [Isaac, notableRelationship, Ty Finn]
-
A.
Martin Hurson
Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
-
B.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
C.
Eric Eldred
Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
-
D.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
E.
Tom Taylor
Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
- 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: Ty Finn Triple: [Isaac, notableRelationship, Ty Finn]
Generated description
Ty Finn is a person primarily known in relation to Isaac, with whom he has a notable personal connection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ty Finn Target entity description: Ty Finn is a person primarily known in relation to Isaac, with whom he has a notable personal connection.
-
A.
Martin Hurson
Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
-
B.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
C.
Eric Eldred
Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
-
D.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
E.
Tom Taylor
Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015839908190b7f9f6c79dcc0367 |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad029ff1848190a4c25325a68bd8b9 |
completed | March 8, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad030a31688190a5d5ef4a7f975e2e |
completed | March 8, 2026, 5:03 a.m. |
Created at: March 1, 2026, 7:59 p.m.