Triple
T28411454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerry Hennessy |
E719673
|
entity |
| Predicate | notableTraitInFamily |
P115426
|
FINISHED |
| Object | most sarcastic sibling |
—
|
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: most sarcastic sibling | Statement: [Kerry Hennessy, notableTraitInFamily, most sarcastic sibling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTraitInFamily Context triple: [Kerry Hennessy, notableTraitInFamily, most sarcastic sibling]
-
A.
hasFamilyTrait
chosen
Indicates that a particular trait or characteristic is shared among members of the same family or lineage.
-
B.
familyCharacteristic
Indicates that a particular trait, feature, or quality is shared within or typical of members of the same family.
-
C.
hasParticularNotableCharacteristic
Indicates that an entity possesses a specific, noteworthy characteristic or quality that distinguishes it in some relevant context.
-
D.
notableTraitOnStage
Indicates that an entity is characterized by a distinctive or noteworthy trait specifically in the context of performing or appearing on stage.
-
E.
notableTraitInFiction
Indicates that a particular trait, characteristic, or quality is especially prominent or defining for an entity within fictional works.
- 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_69eff6f0f37c8190b37bc6fab08a9449 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a00d9717a9881908194163d719f14d6 |
completed | May 10, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a00d91db2ec81909ebacfc9f0d11dd8 |
completed | May 10, 2026, 7:14 p.m. |
Created at: April 28, 2026, 1:27 a.m.