Triple
T30094804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putnam County Spelling Bee |
E764832
|
entity |
| Predicate | monitorCharacter |
P101967
|
FINISHED |
| Object | Mitch Mahoney |
—
|
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: Mitch Mahoney | Statement: [Putnam County Spelling Bee, monitorCharacter, Mitch Mahoney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorCharacter Context triple: [Putnam County Spelling Bee, monitorCharacter, Mitch Mahoney]
-
A.
trackCharacter
chosen
Indicates that one entity follows, monitors, or keeps a record of another entity’s actions, state, or progression over time.
-
B.
monitorType
Indicates the type or category of monitor associated with or used by an entity.
-
C.
screenCharacterBy
Indicates a relationship where one entity evaluates or selects characters according to certain criteria or standards.
-
D.
isMonitored
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
E.
screenTimeCharacter
Indicates the amount of time a particular character appears on screen within a given work or segment.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d8f52e88190b3a11f62835ea328 |
completed | May 2, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:07 p.m.