Triple
T9568095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Virginian |
E230838
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Trampas
Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
|
E806790
|
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: Trampas | Statement: [The Virginian, mainCharacter, Trampas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trampas Context triple: [The Virginian, mainCharacter, Trampas]
-
A.
The Trick
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
-
B.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
C.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
-
D.
Traps
"Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
-
E.
Trikken
Trikken is the tram system serving Oslo, Norway, forming a key part of the city's public transportation network.
- 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: Trampas Triple: [The Virginian, mainCharacter, Trampas]
Generated description
Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trampas Target entity description: Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
-
A.
The Trick
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
-
B.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
C.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
-
D.
Traps
"Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
-
E.
Trikken
Trikken is the tram system serving Oslo, Norway, forming a key part of the city's public transportation network.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152b5b40c81909a84e34a944abfd0 |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d153c26b8481908298b32918666562 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d15445e7a88190accd19c53a6170bb |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:04 p.m.