Triple
T15653937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His Own Where |
E376381
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Angela
Angela is the central character of the work "His Own Where," around whom the story’s events and themes revolve.
|
E1169575
|
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: Angela | Statement: [His Own Where, mainCharacter, Angela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Context triple: [His Own Where, mainCharacter, Angela]
-
A.
Angela
Angela is a character in the British stage play and film "Abigail's Party," known for her polite, somewhat naive demeanor amid the story's tense social dynamics.
-
B.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
C.
Angela
Angela is a feminine given name commonly used in many cultures, often associated with meanings related to "angel" or "messenger."
-
D.
Angela
Angela is the heroine of Matthew Lewis's Gothic melodrama "The Castle Spectre," central to its tale of mystery, romance, and supernatural intrigue.
-
E.
Angela
Angela is a character in John Keats’s narrative poem "The Eve of St. Agnes," serving as an elderly attendant who helps facilitate the lovers’ secret meeting.
- 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: Angela Triple: [His Own Where, mainCharacter, Angela]
Generated description
Angela is the central character of the work "His Own Where," around whom the story’s events and themes revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela Target entity description: Angela is the central character of the work "His Own Where," around whom the story’s events and themes revolve.
-
A.
Angela
Angela is a central character in the film "Street Angel," around whom the story’s emotional and dramatic events revolve.
-
B.
Angela
Angela is the heroine of Matthew Lewis's Gothic melodrama "The Castle Spectre," central to its tale of mystery, romance, and supernatural intrigue.
-
C.
Angela
Angela is a character in John Keats’s narrative poem "The Eve of St. Agnes," serving as an elderly attendant who helps facilitate the lovers’ secret meeting.
-
D.
Angela
Angela is a character in the British stage play and film "Abigail's Party," known for her polite, somewhat naive demeanor amid the story's tense social dynamics.
-
E.
Angela
Angela is a recurring character on the animated sitcom "Family Guy," known as Peter Griffin’s tough, no-nonsense supervisor at the Pawtucket Brewery.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff68481ff881909c23ae20bd3a9ff8 |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.