Triple
T17889854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Threesome |
E447285
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Martha Gehman
Martha Gehman is an American actress known for her roles in film and television, particularly in 1980s and 1990s productions.
|
E1489002
|
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: Martha Gehman | Statement: [Threesome, castMember, Martha Gehman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Gehman Context triple: [Threesome, castMember, Martha Gehman]
-
A.
Mary R. Haas
Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
-
B.
Martha Longenecker
Martha Longenecker was an American artist, educator, and museum founder best known for establishing San Diego’s Mingei International Museum dedicated to folk art, craft, and design from around the world.
-
C.
Mary M. Wyman
Mary M. Wyman was the wife of influential American geographer and geologist William Morris Davis.
-
D.
Marjorie Weaver
Marjorie Weaver was an American film actress of the 1930s and 1940s, known for her roles in Hollywood studio productions including several notable dramas and comedies.
-
E.
Dorothy C. Cressman
Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
- 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: Martha Gehman Triple: [Threesome, castMember, Martha Gehman]
Generated description
Martha Gehman is an American actress known for her roles in film and television, particularly in 1980s and 1990s productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martha Gehman Target entity description: Martha Gehman is an American actress known for her roles in film and television, particularly in 1980s and 1990s productions.
-
A.
Mary R. Haas
Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
-
B.
Martha Longenecker
Martha Longenecker was an American artist, educator, and museum founder best known for establishing San Diego’s Mingei International Museum dedicated to folk art, craft, and design from around the world.
-
C.
Mary M. Wyman
Mary M. Wyman was the wife of influential American geographer and geologist William Morris Davis.
-
D.
Marjorie Weaver
Marjorie Weaver was an American film actress of the 1930s and 1940s, known for her roles in Hollywood studio productions including several notable dramas and comedies.
-
E.
Dorothy C. Cressman
Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7828b481909b645fceb37a7ca3 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e80b29f08190949c8bb718c1787a |
completed | May 17, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_6a09e8f8eb4481909ffd1566e8525314 |
completed | May 17, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e97bce4c8190bc9eb4cec0afe061 |
completed | May 17, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:18 a.m.