Triple
T22237246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamner family |
E549622
|
entity |
| Predicate | knownForValues |
P143719
|
FINISHED |
| Object | family unity |
—
|
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: family unity | Statement: [Hamner family, knownForValues, family unity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForValues Context triple: [Hamner family, knownForValues, family unity]
-
A.
namedForKnownFor
Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
-
B.
nowKnownFor
chosen
Indicates that an entity is currently recognized or notable for a particular role, attribute, achievement, or association.
-
C.
segmentKnownFor
Indicates that a specific segment or portion of something is recognized or notable for a particular characteristic, feature, or association.
-
D.
knownIn
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
-
E.
knownForAct
Indicates that an entity is recognized or notable for performing a particular act or action.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.