Triple
T2169458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pillars of Creation |
E46987
|
entity |
| Predicate | showsEffectOf |
P16366
|
FINISHED |
| Object | radiation from massive young stars |
—
|
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: radiation from massive young stars | Statement: [Pillars of Creation, showsEffectOf, radiation from massive young stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsEffectOf Context triple: [Pillars of Creation, showsEffectOf, radiation from massive young stars]
-
A.
visualEffect
chosen
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
B.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
C.
specialEffectsBy
Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
-
D.
providesSensoryEffects
Indicates that one entity causes or contributes to sensory experiences or perceptions in another entity.
-
E.
effectOfDeath
Indicates the causal impact or consequences that a death has on another entity, state, or process.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.