Triple
T9268614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lorax (book) |
E222763
|
entity |
| Predicate | containsMessage |
P85911
|
FINISHED |
| Object | environmental activism |
—
|
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: environmental activism | Statement: [The Lorax (book), containsMessage, environmental activism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMessage Context triple: [The Lorax (book), containsMessage, environmental activism]
-
A.
hasKeyMessage
chosen
Indicates that one entity conveys, contains, or is associated with a primary or central message of another entity.
-
B.
containsText
Indicates that one entity includes the specified text string within its content.
-
C.
hasMessageSender
Indicates that one entity is the sender or originator of a given message.
-
D.
hasMessageNumber
Indicates that an entity is associated with a specific message identified by a particular number in a sequence or set.
-
E.
containsPass
Indicates that one entity includes or holds a valid pass or authorization credential within it.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074ef7408190b213c09491918132 |
completed | April 1, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.