Triple
T18416176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caitlin |
E441895
|
entity |
| Predicate | motivationForProtagonist |
P19457
|
FINISHED |
| Object | protecting her daughter |
—
|
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: protecting her daughter | Statement: [Caitlin, motivationForProtagonist, protecting her daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motivationForProtagonist Context triple: [Caitlin, motivationForProtagonist, protecting her daughter]
-
A.
characterMotivation
Indicates the underlying reasons, desires, or goals that drive a character’s actions and decisions within a narrative.
-
B.
motivationFor
chosen
Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
-
C.
motivatedByGoal
Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
-
D.
protagonistAction
Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
-
E.
laterMotivation
Indicates that one event, state, or action serves as a motivation or reason for another event, state, or action that occurs later in time.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a284b608190b77c360a72aceb7a |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.