Triple
T33025088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Centennial half dollar |
E845016
|
entity |
| Predicate | livingPersonDepicted |
P171500
|
FINISHED |
| Object | Thomas E. Kilby |
—
|
NE NERFINISHED |
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: Thomas E. Kilby | Statement: [Alabama Centennial half dollar, livingPersonDepicted, Thomas E. Kilby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livingPersonDepicted Context triple: [Alabama Centennial half dollar, livingPersonDepicted, Thomas E. Kilby]
-
A.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
B.
realPersonDepicted
chosen
Indicates that a real, actual person (not fictional or generic) is visually represented or shown in the subject entity.
-
C.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
D.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
-
E.
depictedPersonAlternativeName
Indicates that an alternative or variant name is used to refer to the person depicted.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:23 a.m.