Triple
T12799819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Telegraph Boy |
E305984
|
entity |
| Predicate | protagonistSocialClassAtStart |
P96607
|
FINISHED |
| Object | poor working class |
—
|
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: poor working class | Statement: [The Telegraph Boy, protagonistSocialClassAtStart, poor working class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistSocialClassAtStart Context triple: [The Telegraph Boy, protagonistSocialClassAtStart, poor working class]
-
A.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
B.
socialClassAtStart
chosen
Indicates the social class or socioeconomic status an entity belongs to at the beginning of a specified period, event, or process.
-
C.
protagonistStatusAtStart
Indicates the role or condition the main character is in at the beginning of the narrative or event.
-
D.
antagonistSocialClass
Indicates the social class or societal stratum to which the antagonist in a narrative or situation belongs.
-
E.
commonerClass
Indicates that an entity belongs to the social or economic class of commoners, as opposed to nobility or other privileged groups.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6f858c8190915ede38e9a6a2df |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.