Triple
T31810712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aloysius Szymanski |
E811996
|
entity |
| Predicate | civilianNameOf |
P165853
|
FINISHED |
| Object | Al Simmons |
—
|
NE NERFINISHED |
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: Al Simmons | Statement: [Aloysius Szymanski, civilianNameOf, Al Simmons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilianNameOf Context triple: [Aloysius Szymanski, civilianNameOf, Al Simmons]
-
A.
nameOf
Indicates that one entity is the name or designation of another entity.
-
B.
realName
Indicates that one entity is the actual, full, or birth name of another entity, which may be known by an alias, nickname, or alternate identity.
-
C.
hasCivilianIdentity
chosen
Indicates that an entity possesses a non-superhero, everyday personal identity used in civilian life.
-
D.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
E.
notableMemberCommonName
Indicates that the object is the commonly used or well-known name of a notable member associated with the subject.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:43 p.m.