Triple
T28194270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Shields |
E716400
|
entity |
| Predicate | stateOfHonor |
P183715
|
FINISHED |
| Object | Illinois |
—
|
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: Illinois | Statement: [James Shields, stateOfHonor, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfHonor Context triple: [James Shields, stateOfHonor, Illinois]
-
A.
countryOfHonor
Indicates the country that is formally recognized or designated as being honored in a particular context, event, or distinction.
-
B.
stateOfCeremony
Indicates the current status or phase that a ceremony is in (e.g., planned, ongoing, completed, or canceled).
-
C.
highestStateHonorOf
Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
-
D.
honorsCasualties
Indicates a relationship where an entity commemorates, pays tribute to, or formally recognizes individuals who have been killed or injured, typically in a conflict or disaster.
-
E.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 27, 2026, 10:27 p.m.