Triple
T19653691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybermen |
E471878
|
entity |
| Predicate | primaryCharacteristic |
P72546
|
FINISHED |
| Object | emotionless |
—
|
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: emotionless | Statement: [Cybermen, primaryCharacteristic, emotionless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCharacteristic Context triple: [Cybermen, primaryCharacteristic, emotionless]
-
A.
primaryCharacteristics
chosen
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
B.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
-
C.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
D.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
E.
primaryAppearance
Indicates that the referenced entity is the main or most prominent visual or representational form in which another entity is typically depicted or recognized.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641442994819085a7d9562bf0bdcd |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.