Triple
T11567490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Martinez |
E274290
|
entity |
| Predicate | notableTraitInSeries |
P24103
|
FINISHED |
| Object | correcting others’ mistakes |
—
|
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: correcting others’ mistakes | Statement: [Oscar Martinez, notableTraitInSeries, correcting others’ mistakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTraitInSeries Context triple: [Oscar Martinez, notableTraitInSeries, correcting others’ mistakes]
-
A.
notableTraitInMarvel
Indicates that a particular trait or characteristic is especially prominent or noteworthy within the Marvel universe.
-
B.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
C.
notableFeat
Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
-
D.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
E.
notableCastFeature
chosen
Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd4305c8190ac5ff490b6b63e12 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.