Triple
T14573655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Hively |
E341981
|
entity |
| Predicate | familyRelation |
P566
|
FINISHED |
| Object |
Jack Hively
Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
|
E1126412
|
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: Jack Hively | Statement: [George Hively, familyRelation, Jack Hively]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Hively Context triple: [George Hively, familyRelation, Jack Hively]
-
A.
Jack Holbrook
Jack Holbrook is a relatively obscure individual known primarily as a namesake associated with the surname Holbrook.
-
B.
Marvin Hartley
Marvin Hartley is an individual notable enough to be specifically cited as a bearer of the Hartley surname.
-
C.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
D.
James Jacks
James Jacks was an American film producer best known for his work on popular action and adventure movies such as "The Mummy" series.
-
E.
Mac Wilkins
Mac Wilkins is an American discus thrower and Olympic gold medalist renowned for setting multiple world records in the 1970s.
- 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: Jack Hively Triple: [George Hively, familyRelation, Jack Hively]
Generated description
Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Hively Target entity description: Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
-
A.
Jack Holbrook
Jack Holbrook is a relatively obscure individual known primarily as a namesake associated with the surname Holbrook.
-
B.
Marvin Hartley
Marvin Hartley is an individual notable enough to be specifically cited as a bearer of the Hartley surname.
-
C.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
D.
James Jacks
James Jacks was an American film producer best known for his work on popular action and adventure movies such as "The Mummy" series.
-
E.
Mac Wilkins
Mac Wilkins is an American discus thrower and Olympic gold medalist renowned for setting multiple world records in the 1970s.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729f894881908647da558bef1031 |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe732a6e148190814cf358bafb76b4 |
completed | May 8, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe73fe39508190aa9b78617b729b51 |
completed | May 8, 2026, 11:38 p.m. |
Created at: April 10, 2026, 1:24 a.m.