Triple
T9853576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barley Lightfoot |
E239529
|
entity |
| Predicate | hasGoalInStory |
P42284
|
FINISHED |
| Object | to help Ian meet their father |
—
|
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: to help Ian meet their father | Statement: [Barley Lightfoot, hasGoalInStory, to help Ian meet their father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoalInStory Context triple: [Barley Lightfoot, hasGoalInStory, to help Ian meet their father]
-
A.
narrativeGoal
chosen
Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
-
B.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
C.
hasPlanningGoal
Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
-
D.
goalStatementIncludes
Indicates that a goal statement contains or explicitly mentions a particular element, concept, or condition.
-
E.
hasAwardInStory
Indicates that an entity is depicted within a narrative or story as having received a particular award.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.