Triple
T3547230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Haise |
E75024
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Stephen Haise
Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
|
E367575
|
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: Stephen Haise | Statement: [Fred Haise, child, Stephen Haise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Haise Context triple: [Fred Haise, child, Stephen Haise]
-
A.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
B.
Jeff Rosen
Jeff Rosen is an American music executive and longtime Bob Dylan associate who has overseen and produced numerous Dylan-related projects, including major documentaries and archival releases.
-
C.
Greg Kouri
Greg Kouri was a Canadian entrepreneur and early investor best known for co-founding Zip2 alongside Elon and Kimbal Musk.
-
D.
Max Borenstein
Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
-
E.
Stephen Heard
Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
- 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: Stephen Haise Triple: [Fred Haise, child, Stephen Haise]
Generated description
Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Haise Target entity description: Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
-
A.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
B.
Jeff Rosen
Jeff Rosen is an American music executive and longtime Bob Dylan associate who has overseen and produced numerous Dylan-related projects, including major documentaries and archival releases.
-
C.
Greg Kouri
Greg Kouri was a Canadian entrepreneur and early investor best known for co-founding Zip2 alongside Elon and Kimbal Musk.
-
D.
Max Borenstein
Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
-
E.
Stephen Heard
Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd0eb6081908f1380db4cfade87 |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38be582308190808274c8a530ce51 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c6dbfcc8190897d0c12e8ce4416 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cf9d8188190adb91671d062a6f9 |
completed | March 13, 2026, 4:05 a.m. |
Created at: March 8, 2026, 3:20 p.m.