Triple
T13038483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Rice |
E326626
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object |
Nathaniel Messinger
Nathaniel Messinger is a character associated with Maggie Rice in the film "City of Angels," serving as a key figure who understands and guides the celestial aspects of the story.
|
E1020704
|
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: Nathaniel Messinger | Statement: [Maggie Rice, friendOf, Nathaniel Messinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathaniel Messinger Context triple: [Maggie Rice, friendOf, Nathaniel Messinger]
-
A.
Nathaniel Messinger
Nathaniel Messinger is a character in the film "City of Angels," an angel who interacts with Maggie Rice as she grapples with life, death, and love.
-
B.
Nathaniel Moran
Nathaniel Moran is a Republican politician serving as the U.S. Representative for Texas's 1st congressional district.
-
C.
Nicholas Wittman
Nicholas Wittman is an actor best known for his role in the television series "Mars."
-
D.
Eli Meyer
Eli Meyer is one of the children of Stephenie Meyer, the bestselling author of the "Twilight" series.
-
E.
Andrew Mondshein
Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
- 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: Nathaniel Messinger Triple: [Maggie Rice, friendOf, Nathaniel Messinger]
Generated description
Nathaniel Messinger is a character associated with Maggie Rice in the film "City of Angels," serving as a key figure who understands and guides the celestial aspects of the story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathaniel Messinger Target entity description: Nathaniel Messinger is a character associated with Maggie Rice in the film "City of Angels," serving as a key figure who understands and guides the celestial aspects of the story.
-
A.
Nathaniel Messinger
chosen
Nathaniel Messinger is a character in the film "City of Angels," an angel who interacts with Maggie Rice as she grapples with life, death, and love.
-
B.
Nathaniel Moran
Nathaniel Moran is a Republican politician serving as the U.S. Representative for Texas's 1st congressional district.
-
C.
Nicholas Wittman
Nicholas Wittman is an actor best known for his role in the television series "Mars."
-
D.
Eli Meyer
Eli Meyer is one of the children of Stephenie Meyer, the bestselling author of the "Twilight" series.
-
E.
Andrew Mondshein
Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
- F. None of above.
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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804b743c8190810dc5c14bc6d912 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead25b7c8190af2ccf26b44c2ea2 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6f18100148190bdb501b21d37e6af |
completed | May 3, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f25118508190a35d88cfbdfd77ec |
completed | May 3, 2026, 6:59 a.m. |
Created at: April 9, 2026, 8:55 p.m.