Triple
T30776721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dino Dan |
E783692
|
entity |
| Predicate | portraysDinosaursAs |
P191964
|
FINISHED |
| Object | visible to Dan but not always to others |
—
|
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: visible to Dan but not always to others | Statement: [Dino Dan, portraysDinosaursAs, visible to Dan but not always to others]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysDinosaursAs Context triple: [Dino Dan, portraysDinosaursAs, visible to Dan but not always to others]
-
A.
portraysRealAnimal
Indicates that the subject depicts or represents an actual, non-fictional animal rather than an imaginary or stylized creature.
-
B.
intelligenceComparedToOtherDinosaurs
Indicates how the intelligence of one dinosaur is evaluated or ranked relative to that of other dinosaurs.
-
C.
notDinosaur
Indicates that the subject is explicitly classified as not being a dinosaur.
-
D.
theropodType
Indicates that one entity is classified as a theropod-type dinosaur (i.e., belonging to or exhibiting characteristics of theropod dinosaurs).
-
E.
hasFictionalDepictions
chosen
Indicates that an entity is represented or portrayed in one or more fictional works or narratives.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 29, 2026, 8:41 p.m.