Triple
T4506324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Lantern |
E101339
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Simon Baz
Simon Baz is a Lebanese-American member of DC Comics' Green Lantern Corps, known for wielding a power ring alongside a handgun and confronting themes of post-9/11 prejudice and identity.
|
E447843
|
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: Simon Baz | Statement: [Green Lantern, hasMainCharacter, Simon Baz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Baz Context triple: [Green Lantern, hasMainCharacter, Simon Baz]
-
A.
Simon Emanuel
Simon Emanuel is a film producer best known for his work on major franchise projects, including entries in the Star Wars series.
-
B.
Simon Dunsdon
Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
-
C.
Simon Harness
Simon Harness is a character from the "Strife" universe, recognized as one of its notable figures within the game's lore.
-
D.
Simon Gage
Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
-
E.
Michael Barnathan
Michael Barnathan is an American film producer known for working on major studio hits such as the "Night at the Museum" series and the "Harry Potter" films.
- 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: Simon Baz Triple: [Green Lantern, hasMainCharacter, Simon Baz]
Generated description
Simon Baz is a Lebanese-American member of DC Comics' Green Lantern Corps, known for wielding a power ring alongside a handgun and confronting themes of post-9/11 prejudice and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simon Baz Target entity description: Simon Baz is a Lebanese-American member of DC Comics' Green Lantern Corps, known for wielding a power ring alongside a handgun and confronting themes of post-9/11 prejudice and identity.
-
A.
Simon Emanuel
Simon Emanuel is a film producer best known for his work on major franchise projects, including entries in the Star Wars series.
-
B.
Simon Dunsdon
Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
-
C.
Simon Harness
Simon Harness is a character from the "Strife" universe, recognized as one of its notable figures within the game's lore.
-
D.
Simon Gage
Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
-
E.
Michael Barnathan
Michael Barnathan is an American film producer known for working on major studio hits such as the "Night at the Museum" series and the "Harry Potter" films.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56ff78748190bb667e70c69dc817 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f9d05d08190bde36e7d614a0e2e |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd705e0e848190a73e7ddb569f0e37 |
completed | March 20, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd71b41664819091bd4f75d4634943 |
completed | March 20, 2026, 4:11 p.m. |
Created at: March 20, 2026, 1:01 p.m.