Triple
T37459495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troggzor the Earthinator |
E930881
|
entity |
| Predicate | boardPresenceRole |
P190105
|
FINISHED |
| Object | anti-spell threat |
—
|
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: anti-spell threat | Statement: [Troggzor the Earthinator, boardPresenceRole, anti-spell threat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardPresenceRole Context triple: [Troggzor the Earthinator, boardPresenceRole, anti-spell threat]
-
A.
bossPresence
Indicates that a boss or supervisor is present in the current context or location.
-
B.
managementPresence
Indicates that a management-level individual is present, involved, or overseeing a given context, event, or entity.
-
C.
attendanceRole
Indicates the specific capacity or role in which an entity participates in an attendance-related event or activity.
-
D.
bookingRole
Indicates the role or capacity an entity has in relation to a booking (e.g., who made, manages, or is responsible for the booking).
-
E.
scenePresence
Indicates that an entity is present or appears within a particular scene or context.
- F. None of above. chosen
Provenance (4 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:17 p.m.