Triple
T35316905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers: Ultron Unlimited |
E1019928
|
entity |
| Predicate | hasPenciler |
P132016
|
FINISHED |
| Object | George Pérez |
—
|
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: George Pérez | Statement: [Avengers: Ultron Unlimited, hasPenciler, George Pérez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPenciler Context triple: [Avengers: Ultron Unlimited, hasPenciler, George Pérez]
-
A.
penciledBy
chosen
Indicates that something was written, drawn, or marked using a pencil by a particular agent.
-
B.
hasInker
Indicates that one entity serves as the inker (the person who inks artwork) for another entity, typically a comic or illustration.
-
C.
penciledFor
Indicates that something has been tentatively scheduled, planned, or reserved for a particular time, use, or purpose, subject to possible change.
-
D.
hasHandwritingOf
Indicates that one entity’s handwriting style or written text is attributed to, or produced by, another entity.
-
E.
hasWriterOfWork
Indicates that a person or entity is the writer/author who created a particular work (such as a book, article, or script).
- 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:03 p.m.