Triple
T10194617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soldiers of Fortune |
E238128
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Carter
Carter is a fictional character from the action-adventure film "Soldiers of Fortune."
|
E847601
|
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: Carter | Statement: [Soldiers of Fortune, character, Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carter Context triple: [Soldiers of Fortune, character, Carter]
-
A.
Carter
"Carter" is a Canadian crime-comedy television series starring Jerry O’Connell as a Hollywood actor who returns to his hometown and begins solving real-life crimes.
-
B.
Carter
Carter is a common English surname borne by numerous notable individuals, including the 39th U.S. president, Jimmy Carter.
-
C.
Carter Verone
Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
-
D.
Carter Heywood
Carter Heywood is a witty, openly gay minority affairs liaison in the sitcom "Spin City," known for his sharp humor and social conscience.
-
E.
Carter Chambers
Carter Chambers is a terminally ill mechanic and family man who embarks on a globe-trotting adventure to fulfill his "bucket list" alongside a wealthy stranger in the film "The Bucket List."
- 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: Carter Triple: [Soldiers of Fortune, character, Carter]
Generated description
Carter is a fictional character from the action-adventure film "Soldiers of Fortune."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carter Target entity description: Carter is a fictional character from the action-adventure film "Soldiers of Fortune."
-
A.
Carter
Carter is a common English surname borne by numerous notable individuals, including the 39th U.S. president, Jimmy Carter.
-
B.
Carter
"Carter" is a Canadian crime-comedy television series starring Jerry O’Connell as a Hollywood actor who returns to his hometown and begins solving real-life crimes.
-
C.
Carter Verone
Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
-
D.
Carter Heywood
Carter Heywood is a witty, openly gay minority affairs liaison in the sitcom "Spin City," known for his sharp humor and social conscience.
-
E.
Carter Chambers
Carter Chambers is a terminally ill mechanic and family man who embarks on a globe-trotting adventure to fulfill his "bucket list" alongside a wealthy stranger in the film "The Bucket List."
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc7cc748190bceb8f657afcc054 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317dbfb7c819087aafc7161b14707 |
completed | April 6, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69d319670c6c8190b77257340ec8e6d4 |
completed | April 6, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31d371e948190ac6d31daad2afbdf |
completed | April 6, 2026, 2:40 a.m. |
Created at: March 30, 2026, 9:13 p.m.