Triple
T14013320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del Ennis |
E337141
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Delmer
Delmer is the given first name of Del Ennis, a notable American Major League Baseball outfielder.
|
E1073101
|
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: Delmer | Statement: [Del Ennis, givenName, Delmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delmer Context triple: [Del Ennis, givenName, Delmer]
-
A.
Delbert
Delbert is a masculine given name of English origin, often used in the United States during the early to mid-20th century.
-
B.
Guy Doleman
Guy Doleman was a New Zealand-born character actor best known for his roles in 1960s British spy films, including appearances in the Harry Palmer and early James Bond movies.
-
C.
Carl Esmond
Carl Esmond was an Austrian-born American actor known for his character roles in Hollywood films from the 1930s through the 1960s.
-
D.
Dillman
Dillman is a surname most notably associated with American actor Bradford Dillman, known for his work in film, television, and theater in the mid-20th century.
-
E.
Lee Gilmer
Lee Gilmer was an individual significant enough to local aviation or the surrounding community that a regional airport was named in his honor.
- 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: Delmer Triple: [Del Ennis, givenName, Delmer]
Generated description
Delmer is the given first name of Del Ennis, a notable American Major League Baseball outfielder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delmer Target entity description: Delmer is the given first name of Del Ennis, a notable American Major League Baseball outfielder.
-
A.
Delbert
Delbert is a masculine given name of English origin, often used in the United States during the early to mid-20th century.
-
B.
Guy Doleman
Guy Doleman was a New Zealand-born character actor best known for his roles in 1960s British spy films, including appearances in the Harry Palmer and early James Bond movies.
-
C.
Carl Esmond
Carl Esmond was an Austrian-born American actor known for his character roles in Hollywood films from the 1930s through the 1960s.
-
D.
Dillman
Dillman is a surname most notably associated with American actor Bradford Dillman, known for his work in film, television, and theater in the mid-20th century.
-
E.
Lee Gilmer
Lee Gilmer was an individual significant enough to local aviation or the surrounding community that a regional airport was named in his honor.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.