Triple
T19901326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terence Mann |
E478295
|
entity |
| Predicate | guidesQuestFor |
P58316
|
FINISHED |
| Object | building a magical baseball field |
—
|
LITERAL FINISHED |
How this triple was built (2 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: building a magical baseball field | Statement: [Terence Mann, guidesQuestFor, building a magical baseball field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guidesQuestFor Context triple: [Terence Mann, guidesQuestFor, building a magical baseball field]
-
A.
questType
Indicates the specific category or nature of a quest that characterizes what kind of mission or objective it represents.
-
B.
questHubFor
Indicates a relationship where one entity serves as the central location or main coordination point for quests associated with another entity.
-
C.
guidesThroughRealm
chosen
Indicates that one entity leads or directs another entity through a particular realm, domain, or environment.
-
D.
objectOfQuest
Indicates that one entity is the target, goal, or item being sought or pursued in another entity’s quest or mission.
-
E.
guidingQuestionOf
Indicates that one item serves as a guiding or central question that frames, directs, or structures another item (such as a discussion, activity, or work).
- F. None of above.
Provenance (3 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65941977081909e2f94724eb2c3c0 |
completed | April 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.