Triple
T32631258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Species film series |
E834214
|
entity |
| Predicate | notableCreatureDesigner |
P57050
|
FINISHED |
| Object | H. R. Giger |
E433173
|
NE 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: H. R. Giger | Statement: [Species film series, notableCreatureDesigner, H. R. Giger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCreatureDesigner Context triple: [Species film series, notableCreatureDesigner, H. R. Giger]
-
A.
mascotDesigner
Indicates that one entity is responsible for designing or creating the mascot associated with another entity.
-
B.
characterDesigner
chosen
Indicates a relationship where an entity is responsible for designing or creating the visual or conceptual characteristics of a character.
-
C.
creatorSpecies
Indicates that one entity is the species or kind of being that created or originated another entity.
-
D.
speciesInspiredBy
Indicates that one species concept, design, or depiction is modeled after, influenced by, or creatively derived from another species.
-
E.
usesCharacterDesignFrom
Indicates that one entity employs or incorporates the character design originally created for another entity.
- F. None of above.
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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34929f5d448190a5d1fcf2bef8ff08 |
completed | June 19, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:07 a.m.