Triple
T23511999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristóbal Rios |
E572449
|
entity |
| Predicate | emergencyHologramsModeledOn |
P152658
|
FINISHED |
| Object | himself |
—
|
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: himself | Statement: [Cristóbal Rios, emergencyHologramsModeledOn, himself]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergencyHologramsModeledOn Context triple: [Cristóbal Rios, emergencyHologramsModeledOn, himself]
-
A.
hasEmergencyHologram
Indicates that an entity possesses or is equipped with an emergency hologram system available for use in critical or urgent situations.
-
B.
emergencyRole
Indicates that an entity holds a specific function, responsibility, or authority in emergency or crisis situations.
-
C.
emergencyUse
Indicates that something is being used in response to an urgent or critical situation, typically as a temporary or exceptional measure.
-
D.
emergencyProvision
Indicates a temporary measure or resource activated specifically to address urgent or crisis situations.
-
E.
emergencyResponse
Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa7f583881909e78e8fe2e6e25fe |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:07 p.m.