Triple
T12234086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Storm |
E291547
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Josh Ramos
Josh Ramos is a professional soccer player known for playing as a forward in the Canadian Premier League.
|
E1012693
|
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: Josh Ramos | Statement: [The Storm, memberOf, Josh Ramos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Ramos Context triple: [The Storm, memberOf, Josh Ramos]
-
A.
Dani Ramos
Dani Ramos is a central protagonist in the film "Terminator: Dark Fate," a young Mexican woman targeted by a new Terminator and protected by Sarah Connor and a reprogrammed cyborg.
-
B.
Joshua Gomez
Joshua Gomez is an American actor best known for his role as Morgan Grimes on the television series "Chuck."
-
C.
Greg Reyes
Greg Reyes is an American businessman best known as the founding CEO of semiconductor company LSI Logic and a prominent figure in the tech industry.
-
D.
Gabriel Ramirez
Gabriel Ramirez is a musician best known as a member of the alternative rock band Concrete Blonde.
-
E.
Ricardo Romo
Ricardo Romo is an American historian and academic leader best known for serving as president of the University of Texas at San Antonio and for his scholarship on Mexican American history and urban development.
- 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: Josh Ramos Triple: [The Storm, memberOf, Josh Ramos]
Generated description
Josh Ramos is a professional soccer player known for playing as a forward in the Canadian Premier League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josh Ramos Target entity description: Josh Ramos is a professional soccer player known for playing as a forward in the Canadian Premier League.
-
A.
Dani Ramos
Dani Ramos is a central protagonist in the film "Terminator: Dark Fate," a young Mexican woman targeted by a new Terminator and protected by Sarah Connor and a reprogrammed cyborg.
-
B.
Joshua Gomez
Joshua Gomez is an American actor best known for his role as Morgan Grimes on the television series "Chuck."
-
C.
Greg Reyes
Greg Reyes is an American businessman best known as the founding CEO of semiconductor company LSI Logic and a prominent figure in the tech industry.
-
D.
Gabriel Ramirez
Gabriel Ramirez is a musician best known as a member of the alternative rock band Concrete Blonde.
-
E.
Ricardo Romo
Ricardo Romo is an American historian and academic leader best known for serving as president of the University of Texas at San Antonio and for his scholarship on Mexican American history and urban development.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b9717c8190b8ac71989d3b3582 |
completed | May 3, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69f6b9a1ca54819085da2ca592bf5219 |
completed | May 3, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:51 p.m.