Triple
T12231518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonder Man |
E291486
|
entity |
| Predicate | reasonForConnection |
P30267
|
FINISHED |
| Object | Vision’s mind patterns were originally based on Simon Williams |
—
|
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: Vision’s mind patterns were originally based on Simon Williams | Statement: [Wonder Man, reasonForConnection, Vision’s mind patterns were originally based on Simon Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForConnection Context triple: [Wonder Man, reasonForConnection, Vision’s mind patterns were originally based on Simon Williams]
-
A.
reasonForAssociation
chosen
Indicates that one entity is associated with another due to a specific cause, purpose, or motivating factor underlying their relationship.
-
B.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
C.
reasonForEvent
Indicates that one event occurs as a consequence of, or is motivated or explained by, another specified cause or reason.
-
D.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
E.
reasonForTime
Indicates that one entity provides the explanation or cause for a particular point or duration of time associated with another entity.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.