Triple
T33910689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eklund-Ward |
E869303
|
entity |
| Predicate | componentWardMeaning |
P45905
|
FINISHED |
| Object | guard or watchman (from Old English "weard") |
—
|
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: guard or watchman (from Old English "weard") | Statement: [Eklund-Ward, componentWardMeaning, guard or watchman (from Old English "weard")]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentWardMeaning Context triple: [Eklund-Ward, componentWardMeaning, guard or watchman (from Old English "weard")]
-
A.
componentKanji1Meaning
Indicates that the first kanji component of a character corresponds to a particular meaning or semantic value.
-
B.
nodeMeaning
Indicates that one entity represents, defines, or conveys the semantic content or intended meaning of another entity.
-
C.
familyDesignationMeaning
Indicates the specific role, status, or significance that a given family-related designation conveys within a familial or kinship context.
-
D.
stringMeaning
chosen
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:48 a.m.