Triple
T22475218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australopithecus afarensis |
E555611
|
entity |
| Predicate | FirstFamily |
P148346
|
FINISHED |
| Object | catalogNumber AL 333 |
—
|
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: catalogNumber AL 333 | Statement: [Australopithecus afarensis, FirstFamily, catalogNumber AL 333]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FirstFamily Context triple: [Australopithecus afarensis, FirstFamily, catalogNumber AL 333]
-
A.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
B.
firstLady
Indicates that a person holds the role or status of First Lady in relation to a specific political leader, office, or country.
-
C.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
D.
marriedToVicePresident
Indicates that one person is legally married to an individual who holds the office or role of vice president.
-
E.
associatedPoliticalFamily
Indicates a relationship where an entity is linked or connected to a particular political family, dynasty, or lineage.
- F. None of above. chosen
Provenance (4 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be3930c8190ba967196df7e083f |
completed | April 29, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:49 p.m.