Triple
T30873322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Flesh is Grass |
E786402
|
entity |
| Predicate | portraysAliensAs |
P195237
|
FINISHED |
| Object | benevolent |
—
|
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: benevolent | Statement: [All Flesh is Grass, portraysAliensAs, benevolent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAliensAs Context triple: [All Flesh is Grass, portraysAliensAs, benevolent]
-
A.
attitudeTowardEarthmen
Indicates the stance, feelings, or disposition that one entity holds toward Earthmen.
-
B.
alienSpecies
Indicates that one entity is a species that is foreign or not native to the other entity’s environment, context, or origin.
-
C.
portraysVampiresAs
Indicates how something represents or depicts vampires, especially in terms of their nature, traits, or role.
-
D.
usesAlienInvasionTo
Indicates that one entity employs or exploits an alien invasion as a means or tool to achieve some goal involving another entity.
-
E.
featuresAlien
Indicates that something includes, presents, or prominently involves an alien or extraterrestrial being.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
| PDg | Predicate description generation | batch_69fdb3172b808190b590d7c5be31ebb7 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 29, 2026, 8:48 p.m.