Triple
T4861195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-44 |
E108662
|
entity |
| Predicate | missionSpecialist |
P21471
|
FINISHED |
| Object |
Mario Runco Jr.
Mario Runco Jr. is a former NASA astronaut and U.S. Navy officer who flew on multiple Space Shuttle missions in the 1990s.
|
E474433
|
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: Mario Runco Jr. | Statement: [STS-44, missionSpecialist, Mario Runco Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Runco Jr. Context triple: [STS-44, missionSpecialist, Mario Runco Jr.]
-
A.
Baby Mario
Baby Mario is the infant version of Nintendo’s iconic hero Mario, appearing as a playable character in various Mario spin-off and Yoshi games.
-
B.
Mario the Magnificent
Mario the Magnificent is the dragon mascot of Drexel University, symbolizing the school's spirit and identity at athletic events and campus activities.
-
C.
Shadow Mario
Shadow Mario is a dark, mischievous doppelgänger of Mario who serves as an antagonist in the Super Mario series, most notably in Super Mario Sunshine.
-
D.
Dr. Mario
Dr. Mario is a puzzle video game series by Nintendo in which Mario appears as a doctor who eliminates viruses by matching color-coded capsules.
-
E.
Mario Bros.
Mario Bros. is a classic 1983 arcade platform game by Nintendo featuring Mario and Luigi battling creatures in underground sewers.
- 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: Mario Runco Jr. Triple: [STS-44, missionSpecialist, Mario Runco Jr.]
Generated description
Mario Runco Jr. is a former NASA astronaut and U.S. Navy officer who flew on multiple Space Shuttle missions in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mario Runco Jr. Target entity description: Mario Runco Jr. is a former NASA astronaut and U.S. Navy officer who flew on multiple Space Shuttle missions in the 1990s.
-
A.
Baby Mario
Baby Mario is the infant version of Nintendo’s iconic hero Mario, appearing as a playable character in various Mario spin-off and Yoshi games.
-
B.
Mario the Magnificent
Mario the Magnificent is the dragon mascot of Drexel University, symbolizing the school's spirit and identity at athletic events and campus activities.
-
C.
Shadow Mario
Shadow Mario is a dark, mischievous doppelgänger of Mario who serves as an antagonist in the Super Mario series, most notably in Super Mario Sunshine.
-
D.
Dr. Mario
Dr. Mario is a puzzle video game series by Nintendo in which Mario appears as a doctor who eliminates viruses by matching color-coded capsules.
-
E.
Mario Bros.
Mario Bros. is a classic 1983 arcade platform game by Nintendo featuring Mario and Luigi battling creatures in underground sewers.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5e247c8190b6ae4e9b529f0345 |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cf921cc8190a092bb69c1981890 |
completed | March 21, 2026, 8:55 a.m. |
| NEDg | Description generation | batch_69be5e833ca88190b89dda5cafb180fe |
completed | March 21, 2026, 9:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5eed97a08190afd99a0700f1f4c7 |
completed | March 21, 2026, 9:03 a.m. |
Created at: March 20, 2026, 1:26 p.m.