Triple
T36963615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Addermire Institute |
E914369
|
entity |
| Predicate | featuredInMission |
P626
|
FINISHED |
| Object |
The Good Doctor
The Good Doctor is a mission in the stealth-action game Dishonored 2, centered around infiltrating the Addermire Institute to confront the controversial physician Dr. Alexandria Hypatia.
|
E2206273
|
NE FINISHED |
How this triple was built (3 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: The Good Doctor | Statement: [Addermire Institute, featuredInMission, The Good Doctor]
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: The Good Doctor Triple: [Addermire Institute, featuredInMission, The Good Doctor]
Generated description
The Good Doctor is a mission in the stealth-action game Dishonored 2, centered around infiltrating the Addermire Institute to confront the controversial physician Dr. Alexandria Hypatia.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInMission Context triple: [Addermire Institute, featuredInMission, The Good Doctor]
-
A.
partOfMission
Indicates that one entity is a component, phase, or element belonging to or included within a larger mission.
-
B.
namedForMission
Indicates that something (such as an object, place, or project) is given a name in honor of or derived from a particular mission.
-
C.
partOfMissionType
Indicates that one entity represents a specific mission type of which the other entity is a constituent or component part.
-
D.
featuredIn
chosen
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
E.
containsMission
Indicates that one entity includes or encompasses a mission as part of its contents, scope, or responsibilities.
- F. None of above.
Provenance (6 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c4028cc819096d7482c505b025c |
completed | June 26, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_6a3e2cc857a08190b439fa82ce182242 |
completed | June 26, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3e423d64248190aa833924bdf05432 |
completed | June 26, 2026, 9:11 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.