Triple
T155809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Kitchener Wants You poster |
E3178
|
entity |
| Predicate | mainText |
P2003
|
FINISHED |
| Object | YOUR COUNTRY NEEDS YOU |
—
|
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: YOUR COUNTRY NEEDS YOU | Statement: [Lord Kitchener Wants You poster, mainText, YOUR COUNTRY NEEDS YOU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainText Context triple: [Lord Kitchener Wants You poster, mainText, YOUR COUNTRY NEEDS YOU]
-
A.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
B.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
C.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
D.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
E.
featuresText
chosen
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2565ded588190a27319aaa0130b4f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.