Triple
T20890745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starship |
E514399
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mark Garza
Mark Garza is a member of the band Starship, known for its 1980s rock and pop hits.
|
E1455927
|
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 Garza | Statement: [Starship, hasMember, Mark Garza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Garza Context triple: [Starship, hasMember, Mark Garza]
-
A.
David Garza
David Garza is an American musician, songwriter, and record producer known for his eclectic solo work and collaborations with artists such as Fiona Apple.
-
B.
Cyrus Garza
Cyrus Garza is a fictional former U.S. Supreme Court justice who becomes a maverick defense attorney in the television series "Outlaw."
-
C.
Javier Garza
Javier Garza is a Grammy-winning music producer and audio engineer known for his work on major Latin pop albums, including projects with Shakira.
-
D.
Xavier Garza
Xavier Garza is a Mexican American author and illustrator known for his bilingual children’s books and stories that draw on Chicano culture, folklore, and everyday life in South Texas.
-
E.
Alex Garcia
Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse 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 Garza Triple: [Starship, hasMember, Mark Garza]
Generated description
Mark Garza is a member of the band Starship, known for its 1980s rock and pop hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Garza Target entity description: Mark Garza is a member of the band Starship, known for its 1980s rock and pop hits.
-
A.
David Garza
David Garza is an American musician, songwriter, and record producer known for his eclectic solo work and collaborations with artists such as Fiona Apple.
-
B.
Cyrus Garza
Cyrus Garza is a fictional former U.S. Supreme Court justice who becomes a maverick defense attorney in the television series "Outlaw."
-
C.
Javier Garza
Javier Garza is a Grammy-winning music producer and audio engineer known for his work on major Latin pop albums, including projects with Shakira.
-
D.
Xavier Garza
Xavier Garza is a Mexican American author and illustrator known for his bilingual children’s books and stories that draw on Chicano culture, folklore, and everyday life in South Texas.
-
E.
Alex Garcia
Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05e307081908f1d044e877017ec |
completed | April 21, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0913ad6bf481908d55fdd5f438181b |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a091504e5088190a98bc0f0fcd60db9 |
completed | May 17, 2026, 1:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09157461b4819096ab8d77b40f9c9a |
completed | May 17, 2026, 1:10 a.m. |
Created at: April 16, 2026, 12:46 p.m.