Triple
T10121128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Joiner |
E223289
|
entity |
| Predicate | statLabel |
P38911
|
FINISHED |
| Object | receptions |
—
|
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: receptions | Statement: [Charlie Joiner, statLabel, receptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statLabel Context triple: [Charlie Joiner, statLabel, receptions]
-
A.
statisticNote
Indicates that there is an explanatory note or comment providing additional context or clarification about a reported statistic.
-
B.
statusFormula
Indicates a formal expression or rule that defines or evaluates the current status or condition of something.
-
C.
statusSymbol
Indicates that something serves as a marker or representation of an entity’s social, economic, or cultural standing relative to others.
-
D.
statisticsConsidered
Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
-
E.
statisticsType
chosen
Indicates the specific kind or category of statistical measure or analysis associated with an entity or dataset.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd266b18c8190b35fe637c912e756 |
completed | April 2, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:04 p.m.