Triple
T22802531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Blade of Grass |
E564435
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Sean Forestal
Sean Forestal is a screenwriter best known for his work on the post-apocalyptic film "No Blade of Grass."
|
E1555728
|
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: Sean Forestal | Statement: [No Blade of Grass, screenwriter, Sean Forestal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Forestal Context triple: [No Blade of Grass, screenwriter, Sean Forestal]
-
A.
Jeff Forrest
Jeff Forrest is a musician best known as a member of the punk rock band F.Y.P.
-
B.
Sean Falco
Sean Falco is the morally conflicted young valet-turned-burglar protagonist of the 2018 thriller film "Bad Samaritan."
-
C.
Christopher Scarabosio
Christopher Scarabosio is a sound designer and voice actor known for his work on animated and science fiction films, including providing voices in "Titan A.E."
-
D.
Richard Fortus
Richard Fortus is an American rock guitarist best known for his long-running role as a touring and recording member of Guns N' Roses.
-
E.
Stephen Michael Largent
Stephen Michael Largent is a former American football wide receiver and Hall of Famer who became a U.S. Congressman from Oklahoma.
- 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: Sean Forestal Triple: [No Blade of Grass, screenwriter, Sean Forestal]
Generated description
Sean Forestal is a screenwriter best known for his work on the post-apocalyptic film "No Blade of Grass."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Forestal Target entity description: Sean Forestal is a screenwriter best known for his work on the post-apocalyptic film "No Blade of Grass."
-
A.
Jeff Forrest
Jeff Forrest is a musician best known as a member of the punk rock band F.Y.P.
-
B.
Sean Falco
Sean Falco is the morally conflicted young valet-turned-burglar protagonist of the 2018 thriller film "Bad Samaritan."
-
C.
Christopher Scarabosio
Christopher Scarabosio is a sound designer and voice actor known for his work on animated and science fiction films, including providing voices in "Titan A.E."
-
D.
Richard Fortus
Richard Fortus is an American rock guitarist best known for his long-running role as a touring and recording member of Guns N' Roses.
-
E.
Stephen Michael Largent
Stephen Michael Largent is a former American football wide receiver and Hall of Famer who became a U.S. Congressman from Oklahoma.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e9b35e08190a3ad478355279253 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba2386bf88190911fe2cd9870023a |
completed | May 18, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba2bae9888190a8d115579643695b |
completed | May 18, 2026, 11:37 p.m. |
Created at: April 17, 2026, 3:31 p.m.