Triple
T1790517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Martian |
E39484
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mark Watney
Mark Watney is the resourceful astronaut and botanist who becomes stranded alone on Mars and must use his ingenuity to survive in Andy Weir’s science fiction novel "The Martian."
|
E197785
|
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: Mark Watney | Statement: [The Martian, mainCharacter, Mark Watney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Watney Context triple: [The Martian, mainCharacter, Mark Watney]
-
A.
Matt Kowalski
Matt Kowalski is a veteran NASA astronaut and spacewalker featured as a central character in the science fiction film "Gravity."
-
B.
Dr. Ryan Stone
Dr. Ryan Stone is the rookie medical engineer and astronaut portrayed by Sandra Bullock in the space survival film "Gravity."
-
C.
Fred Haise
Fred Haise is an American astronaut and test pilot best known as the lunar module pilot on the ill-fated Apollo 13 mission.
-
D.
Jack Swigert
Jack Swigert was an American astronaut, test pilot, and politician best known as the command module pilot of NASA’s ill-fated Apollo 13 lunar mission.
-
E.
Greg Grissom
Greg Grissom is a sports executive who serves as the president of the NFL’s Houston Texans franchise.
- 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: Mark Watney Triple: [The Martian, mainCharacter, Mark Watney]
Generated description
Mark Watney is the resourceful astronaut and botanist who becomes stranded alone on Mars and must use his ingenuity to survive in Andy Weir’s science fiction novel "The Martian."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Watney Target entity description: Mark Watney is the resourceful astronaut and botanist who becomes stranded alone on Mars and must use his ingenuity to survive in Andy Weir’s science fiction novel "The Martian."
-
A.
Matt Kowalski
Matt Kowalski is a veteran NASA astronaut and spacewalker featured as a central character in the science fiction film "Gravity."
-
B.
Dr. Ryan Stone
Dr. Ryan Stone is the rookie medical engineer and astronaut portrayed by Sandra Bullock in the space survival film "Gravity."
-
C.
Fred Haise
Fred Haise is an American astronaut and test pilot best known as the lunar module pilot on the ill-fated Apollo 13 mission.
-
D.
Jack Swigert
Jack Swigert was an American astronaut, test pilot, and politician best known as the command module pilot of NASA’s ill-fated Apollo 13 lunar mission.
-
E.
Greg Grissom
Greg Grissom is a sports executive who serves as the president of the NFL’s Houston Texans franchise.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6512804c8190a5743c10bd37f83f |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9aa10b881909923b8d0f3a30ee6 |
completed | March 8, 2026, 4:54 p.m. |
| NEDg | Description generation | batch_69adab05cf6c81909f4713664f508ad9 |
completed | March 8, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaeb31430819083d033a3890eba49 |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 4, 2026, 7:32 p.m.