Triple
T19128054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas |
E468237
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lucas Blye
Lucas Blye is a fictional protagonist named Lucas, serving as the central character in his story.
|
E1359732
|
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: Lucas Blye | Statement: [Lucas, mainCharacter, Lucas Blye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucas Blye Context triple: [Lucas, mainCharacter, Lucas Blye]
-
A.
Lucas Jones
Lucas Jones is a fictional character on the soap opera "General Hospital," known as the son of longtime character Bobbie Spencer.
-
B.
Lucas Sinclair
Lucas Sinclair is a brave and resourceful member of the core friend group in the sci-fi horror series "Stranger Things," known for his skepticism, loyalty, and slingshot-wielding courage.
-
C.
Lucas Doolin
Lucas Doolin is the moonshine-running Korean War veteran protagonist of the 1958 crime drama film "Thunder Road," known for his high-speed backroads driving and defiance of federal agents.
-
D.
Lucas N. Smith
Lucas N. Smith is a film editor known for his work on the movie "Afterschool."
-
E.
Lucas Beauchamp
Lucas Beauchamp is a proud, defiant Black farmer and central character in William Faulkner’s fiction, most notably in the novel "Go Down, Moses."
- 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: Lucas Blye Triple: [Lucas, mainCharacter, Lucas Blye]
Generated description
Lucas Blye is a fictional protagonist named Lucas, serving as the central character in his story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucas Blye Target entity description: Lucas Blye is a fictional protagonist named Lucas, serving as the central character in his story.
-
A.
Lucas Jones
Lucas Jones is a fictional character on the soap opera "General Hospital," known as the son of longtime character Bobbie Spencer.
-
B.
Lucas Sinclair
Lucas Sinclair is a brave and resourceful member of the core friend group in the sci-fi horror series "Stranger Things," known for his skepticism, loyalty, and slingshot-wielding courage.
-
C.
Lucas Doolin
Lucas Doolin is the moonshine-running Korean War veteran protagonist of the 1958 crime drama film "Thunder Road," known for his high-speed backroads driving and defiance of federal agents.
-
D.
Lucas N. Smith
Lucas N. Smith is a film editor known for his work on the movie "Afterschool."
-
E.
Lucas Beauchamp
Lucas Beauchamp is a proud, defiant Black farmer and central character in William Faulkner’s fiction, most notably in the novel "Go Down, Moses."
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ceb5808190b3b53d9e8df3605a |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e67b296c81909818a4c71380fa98 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e9aaa85c81909bdc81145d415716 |
completed | May 14, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ea46a9588190846c5a1b8f2bfc12 |
completed | May 14, 2026, 3:29 p.m. |
Created at: April 10, 2026, 12:05 p.m.