Triple
T22935658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Maxon Protests |
E569574
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Mrs. Maxon
Mrs. Maxon is the central character of the work "Mrs. Maxon Protests," around whom the story’s events and conflicts revolve.
|
E1561636
|
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: Mrs. Maxon | Statement: [Mrs. Maxon Protests, hasMainCharacter, Mrs. Maxon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Maxon Context triple: [Mrs. Maxon Protests, hasMainCharacter, Mrs. Maxon]
-
A.
Mrs. Talmann
Mrs. Talmann is a central figure in Peter Greenaway’s 1982 film "The Draughtsman’s Contract," around whom much of the movie’s intrigue and power play revolves.
-
B.
Mrs. Averill
Mrs. Averill is a character played by British actress Sarah Douglas, best known for her roles in science fiction and fantasy films.
-
C.
Mrs. Baylock
Mrs. Baylock is the sinister nanny and devoted protector of the Antichrist child Damien in the 1976 horror film "The Omen."
-
D.
Mrs. Spaulding
Mrs. Spaulding is the mother of Douglas Spaulding, the young protagonist in Ray Bradbury’s novel "Dandelion Wine."
-
E.
Mrs. McKee
Mrs. McKee is the central protagonist of the work "State of Grace," around whom the story’s main events and character developments revolve.
- 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: Mrs. Maxon Triple: [Mrs. Maxon Protests, hasMainCharacter, Mrs. Maxon]
Generated description
Mrs. Maxon is the central character of the work "Mrs. Maxon Protests," around whom the story’s events and conflicts revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mrs. Maxon Target entity description: Mrs. Maxon is the central character of the work "Mrs. Maxon Protests," around whom the story’s events and conflicts revolve.
-
A.
Mrs. Talmann
Mrs. Talmann is a central figure in Peter Greenaway’s 1982 film "The Draughtsman’s Contract," around whom much of the movie’s intrigue and power play revolves.
-
B.
Mrs. Averill
Mrs. Averill is a character played by British actress Sarah Douglas, best known for her roles in science fiction and fantasy films.
-
C.
Mrs. Baylock
Mrs. Baylock is the sinister nanny and devoted protector of the Antichrist child Damien in the 1976 horror film "The Omen."
-
D.
Mrs. Spaulding
Mrs. Spaulding is the mother of Douglas Spaulding, the young protagonist in Ray Bradbury’s novel "Dandelion Wine."
-
E.
Mrs. McKee
Mrs. McKee is the central protagonist of the work "State of Grace," around whom the story’s main events and character developments revolve.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181350c7881908a72dc7a30e1aaff |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc250aaa88190bd4d516e31012882 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc30a16408190ba27d804c7a4933e |
completed | May 19, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc39e4c00819083a5c7bc3c9c1526 |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 17, 2026, 3:44 p.m.