Triple
T2995638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horse Girl |
E81057
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
|
E315758
|
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: Ryan Brown | Statement: [Horse Girl, editedBy, Ryan Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Brown Context triple: [Horse Girl, editedBy, Ryan Brown]
-
A.
Warrick Brown
Warrick Brown is a fictional crime scene investigator and forensic analyst on the television series "CSI: Crime Scene Investigation."
-
B.
Jacob Brown
Jacob Brown was a prominent U.S. Army general in the War of 1812, noted for his leadership and tactical skill in major engagements against British forces.
-
C.
Mark Brown
Mark Brown is an American filmmaker and screenwriter best known for writing and directing the romantic comedy film "Two Can Play That Game."
-
D.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
-
E.
Neil Canton
Neil Canton is an American film producer best known for his work on the Back to the Future trilogy and other major Hollywood 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: Ryan Brown Triple: [Horse Girl, editedBy, Ryan Brown]
Generated description
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Brown Target entity description: Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
A.
Warrick Brown
Warrick Brown is a fictional crime scene investigator and forensic analyst on the television series "CSI: Crime Scene Investigation."
-
B.
Jacob Brown
Jacob Brown was a prominent U.S. Army general in the War of 1812, noted for his leadership and tactical skill in major engagements against British forces.
-
C.
Mark Brown
Mark Brown is an American filmmaker and screenwriter best known for writing and directing the romantic comedy film "Two Can Play That Game."
-
D.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
-
E.
Neil Canton
Neil Canton is an American film producer best known for his work on the Back to the Future trilogy and other major Hollywood 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b10908cfe48190bf244d5a3dbc958b |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10ab5e3488190b2d8c98dd296cbe5 |
completed | March 11, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10b1664f081909b521ee8dd5954f9 |
completed | March 11, 2026, 6:26 a.m. |
Created at: March 8, 2026, 2:59 p.m.