Triple
T33068024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Character of a Trimmer |
E846155
|
entity |
| Predicate | titleCharacterMeaning |
P59026
|
FINISHED |
| Object | trimmer as one who keeps the ship on an even keel |
—
|
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: trimmer as one who keeps the ship on an even keel | Statement: [The Character of a Trimmer, titleCharacterMeaning, trimmer as one who keeps the ship on an even keel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterMeaning Context triple: [The Character of a Trimmer, titleCharacterMeaning, trimmer as one who keeps the ship on an even keel]
-
A.
associatedCharacterMeaning
chosen
Indicates that there is a relationship between a character and the meaning, interpretation, or concept that this character is intended to represent.
-
B.
titleMeaning
Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
-
C.
heroNameMeaning
Indicates that a hero’s name has a particular meaning, interpretation, or etymological significance.
-
D.
characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
-
E.
titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 1, 2026, 1:25 a.m.