Triple
T29616654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabrak |
E754880
|
entity |
| Predicate | hornPattern |
P167512
|
FINISHED |
| Object | varies by individual |
—
|
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: varies by individual | Statement: [Zabrak, hornPattern, varies by individual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hornPattern Context triple: [Zabrak, hornPattern, varies by individual]
-
A.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
-
B.
hornInterpretedAs
Indicates that one entity’s horn is understood, interpreted, or taken to represent another entity or concept.
-
C.
bellPattern
Indicates that one entity exhibits or follows a bell-shaped or bell-like pattern in relation to another entity or variable.
-
D.
tonePattern
Indicates the characteristic arrangement or sequence of tones associated with an entity, such as in speech, music, or signaling.
-
E.
hornCount
Indicates the number of horns possessed by an entity.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e2198f88190b384af5844ab9415 |
completed | May 2, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:32 p.m.