Triple
T28639798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For Life |
E724888
|
entity |
| Predicate | hasProtagonistStatus |
P93885
|
FINISHED |
| Object | wrongfully convicted prisoner |
—
|
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: wrongfully convicted prisoner | Statement: [For Life, hasProtagonistStatus, wrongfully convicted prisoner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistStatus Context triple: [For Life, hasProtagonistStatus, wrongfully convicted prisoner]
-
A.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
B.
hasProtagonistCondition
chosen
Indicates that the main character in a narrative has a particular condition, state, or affliction.
-
C.
hasSpiritProtagonist
Indicates that the primary or central character in a narrative is a spirit or non-corporeal being.
-
D.
protagonistStatusAtStart
Indicates the role or condition the main character is in at the beginning of the narrative or event.
-
E.
hasProtagonistClass
Indicates that a work’s main character belongs to a specified class or category.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: April 28, 2026, 4:43 a.m.