Triple
T29444488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Bernoulli |
E746810
|
entity |
| Predicate | goalInDayOfTheTentacle |
P167188
|
FINISHED |
| Object | stop Purple Tentacle from taking over the world |
—
|
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: stop Purple Tentacle from taking over the world | Statement: [Bernard Bernoulli, goalInDayOfTheTentacle, stop Purple Tentacle from taking over the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalInDayOfTheTentacle Context triple: [Bernard Bernoulli, goalInDayOfTheTentacle, stop Purple Tentacle from taking over the world]
-
A.
hasTentacles
Indicates that an entity possesses tentacle-like appendages.
-
B.
goalOfTrials
Indicates that the specified goal is the intended objective or outcome that the trials are designed to achieve or evaluate.
-
C.
goalNumber
Indicates that an entity is associated with a specific target or objective quantified as a number.
-
D.
hasTentacleLength
Indicates that one entity possesses tentacles of a specified length in relation to another entity or a given measurement.
-
E.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b203bd481908eb67bc9f7e0e5a9 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:26 p.m.