Triple
T28038717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aperture Science Enrichment Center |
E708478
|
entity |
| Predicate | AIStatus |
P100765
|
FINISHED |
| Object | under full control of GLaDOS for most of Portal series |
—
|
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: under full control of GLaDOS for most of Portal series | Statement: [Aperture Science Enrichment Center, AIStatus, under full control of GLaDOS for most of Portal series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AIStatus Context triple: [Aperture Science Enrichment Center, AIStatus, under full control of GLaDOS for most of Portal series]
-
A.
ianaStatus
Indicates the current registration or operational state of an item as defined by the Internet Assigned Numbers Authority (IANA).
-
B.
aiBehavior
chosen
Indicates how an artificial intelligence system acts or responds under given conditions or stimuli.
-
C.
hasAI
Indicates that one entity possesses, incorporates, or is equipped with an artificial intelligence system.
-
D.
actualStatus
Indicates the current, real-world state or condition of an entity, as opposed to a planned, expected, or nominal status.
-
E.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
- 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63f2e1a248190a41f02f91e8c1183 |
completed | May 2, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:23 p.m.