Triple
T2075189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Daughter of the United States |
E44904
|
entity |
| Predicate | hasAnalogue |
P6587
|
FINISHED |
| Object | children of heads of state |
—
|
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: children of heads of state | Statement: [First Daughter of the United States, hasAnalogue, children of heads of state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnalogue Context triple: [First Daughter of the United States, hasAnalogue, children of heads of state]
-
A.
usedAsAnalogFor
Indicates that one entity is employed as a comparison or illustrative counterpart to help explain, represent, or understand another entity.
-
B.
isAnalogOrDigital
Indicates whether something operates using analog signals/representation or digital signals/representation.
-
C.
isAlternativeTo
Indicates that one entity can serve as a substitute or different option in place of another.
-
D.
hasCounterpart
chosen
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
E.
materiallySimilarTo
Indicates that two entities share substantially the same physical or material characteristics, composition, or properties, though they may not be exactly identical.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba116ea0819086d16c3913159e9e |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.