Triple
T19650139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Hackett |
E471789
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Martha Hackett
Martha Hackett is an American actress best known for her recurring role as the Cardassian spy Seska on the television series Star Trek: Voyager.
|
E1507235
|
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 Hackett | Statement: [Henry Hackett, spouse, Martha Hackett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Hackett Context triple: [Henry Hackett, spouse, Martha Hackett]
-
A.
Joan Hackett
Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
-
B.
Martha Pattridge
Martha Pattridge is known as the wife of longtime Manhattan District Attorney Robert M. Morgenthau.
-
C.
Martha McKay
Martha McKay is a fictional character in the 2015 romantic action-comedy film "Mr. Right."
-
D.
Martha Farnsworth
Martha Farnsworth is the strict yet protective headmistress of a Southern girls’ school in the American Civil War–era drama film "The Beguiled" (2017).
-
E.
Martha Vickers
Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
- 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 Hackett Triple: [Henry Hackett, spouse, Martha Hackett]
Generated description
Martha Hackett is an American actress best known for her recurring role as the Cardassian spy Seska on the television series Star Trek: Voyager.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martha Hackett Target entity description: Martha Hackett is an American actress best known for her recurring role as the Cardassian spy Seska on the television series Star Trek: Voyager.
-
A.
Joan Hackett
Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
-
B.
Martha Pattridge
Martha Pattridge is known as the wife of longtime Manhattan District Attorney Robert M. Morgenthau.
-
C.
Martha McKay
Martha McKay is a fictional character in the 2015 romantic action-comedy film "Mr. Right."
-
D.
Martha Farnsworth
Martha Farnsworth is the strict yet protective headmistress of a Southern girls’ school in the American Civil War–era drama film "The Beguiled" (2017).
-
E.
Martha Vickers
Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641286bbc8190886f309de13063bf |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a59ec05c081909af30673439872ce |
completed | May 18, 2026, 12:14 a.m. |
| NEDg | Description generation | batch_6a0a5b0d434481909d2d011c2449bf69 |
completed | May 18, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5ba4fb5c8190994938f704603690 |
completed | May 18, 2026, 12:21 a.m. |
Created at: April 10, 2026, 1:44 p.m.