Triple
T17863124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Lorca |
E446122
|
entity |
| Predicate | lightSensitivity |
P127606
|
FINISHED |
| Object | clue to Mirror Universe origin |
—
|
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: clue to Mirror Universe origin | Statement: [Gabriel Lorca, lightSensitivity, clue to Mirror Universe origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightSensitivity Context triple: [Gabriel Lorca, lightSensitivity, clue to Mirror Universe origin]
-
A.
sensitivityToLight
chosen
Indicates a relationship where an entity reacts adversely or more strongly than normal when exposed to light.
-
B.
photosensitivity
Indicates a relationship where an entity reacts or responds in a particular way when exposed to light.
-
C.
surfaceBrightnessClass
Indicates the qualitative classification of how bright an extended object (such as a galaxy) appears per unit area on the sky.
-
D.
hasSensoryAdaptation
Indicates that an entity possesses a specialized sensory modification or adjustment that enhances its ability to detect, process, or respond to environmental stimuli.
-
E.
eyeCondition
Indicates that an entity has, experiences, or is characterized by a particular condition or disorder affecting the eyes.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49791b0c08190b04a426bd274065d |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.