Triple
T32895167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny Fleck |
E841449
|
entity |
| Predicate | lettersContent |
P175557
|
FINISHED |
| Object | requests help from Thomas Wayne |
—
|
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: requests help from Thomas Wayne | Statement: [Penny Fleck, lettersContent, requests help from Thomas Wayne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lettersContent Context triple: [Penny Fleck, lettersContent, requests help from Thomas Wayne]
-
A.
letters
Indicates that one entity is composed of, represented by, or associated with specific alphabetic characters or written symbols.
-
B.
letter3
Indicates that one entity is the third letter (or character) of another entity, typically a string or word.
-
C.
letterType
Indicates the specific category or kind of letter associated with or assigned to an entity.
-
D.
letterWrittenFrom
Indicates that a letter is authored at or sent from a particular origin location or source entity.
-
E.
lettersWrittenBetween
Indicates that letters have been written and exchanged between the two entities, reflecting a mutual correspondence.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:18 a.m.