Triple
T28710237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lewis May |
E729809
|
entity |
| Predicate | RudolphOriginalMedium |
P168735
|
FINISHED |
| Object | printed booklet |
—
|
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: printed booklet | Statement: [Robert Lewis May, RudolphOriginalMedium, printed booklet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RudolphOriginalMedium Context triple: [Robert Lewis May, RudolphOriginalMedium, printed booklet]
-
A.
allyOfRudolf
Indicates a relationship where one entity is an ally or supporter of Rudolf.
-
B.
ornamentColor
Indicates that one entity specifies the color or hue characteristic of another entity used as an ornament or decorative element.
-
C.
ornamentName
Indicates that an ornament is identified or referred to by a specific name.
-
D.
hasReindeerHerding
Indicates that one entity engages in or possesses the activity, practice, or operation of herding reindeer in relation to another entity.
-
E.
الحفيد
Indicates a grandchild relationship, where one entity is the descendant (grandson or granddaughter) of another entity’s child.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 28, 2026, 5:47 a.m.