Triple
T12225513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bewitched |
E291339
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Harry Ackerman
Harry Ackerman was an influential American television producer known for helping shape classic 1950s and 1960s sitcoms.
|
E972772
|
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: Harry Ackerman | Statement: [Bewitched, executiveProducer, Harry Ackerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Ackerman Context triple: [Bewitched, executiveProducer, Harry Ackerman]
-
A.
Harold Hecht
Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
-
B.
Hank Corwin
Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
-
C.
Stanley Beck
Stanley Beck was an American actor best known for his work in film and television during the mid-20th century.
-
D.
Harold G. Kiner
Harold G. Kiner was a United States Army soldier and Medal of Honor recipient who was killed in action during World War II.
-
E.
Robert Komer
Robert Komer was a U.S. national security official and diplomat who played a key role in directing pacification and counterinsurgency efforts during the Vietnam War.
- 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: Harry Ackerman Triple: [Bewitched, executiveProducer, Harry Ackerman]
Generated description
Harry Ackerman was an influential American television producer known for helping shape classic 1950s and 1960s sitcoms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Ackerman Target entity description: Harry Ackerman was an influential American television producer known for helping shape classic 1950s and 1960s sitcoms.
-
A.
Harold Hecht
Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
-
B.
Hank Corwin
Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
-
C.
Stanley Beck
Stanley Beck was an American actor best known for his work in film and television during the mid-20th century.
-
D.
Harold G. Kiner
Harold G. Kiner was a United States Army soldier and Medal of Honor recipient who was killed in action during World War II.
-
E.
Robert Komer
Robert Komer was a U.S. national security official and diplomat who played a key role in directing pacification and counterinsurgency efforts during the Vietnam War.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa9023881909f8373e02d2cad4b |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f61a13fd1481908a06ca65b276e0e1 |
completed | May 2, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f61ad2bd0c8190ada37bc1f8ae160f |
completed | May 2, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:51 p.m.