Triple
T2622250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DINOSAUR |
E59034
|
entity |
| Predicate | narrativeGoal |
P42284
|
FINISHED |
| Object | rescue an iguanodon |
—
|
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: rescue an iguanodon | Statement: [DINOSAUR, narrativeGoal, rescue an iguanodon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeGoal Context triple: [DINOSAUR, narrativeGoal, rescue an iguanodon]
-
A.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
B.
normativeGoal
Indicates that one entity is a desired or prescribed objective, standard, or end state that another entity ought to pursue or realize.
-
C.
narrativePassage
Indicates that a segment of text functions as a narrative passage, conveying events, actions, or storytelling rather than exposition, dialogue, or other discourse types.
-
D.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
E.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
- F. None of above. chosen
Provenance (4 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdac82b688190886a6ec2d6e2abc7 |
completed | March 7, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:50 p.m.