Triple
T4780798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Star |
E106158
|
entity |
| Predicate | isNameFor |
P744
|
FINISHED |
| Object | Venus as seen before sunrise |
—
|
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: Venus as seen before sunrise | Statement: [Morning Star, isNameFor, Venus as seen before sunrise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNameFor Context triple: [Morning Star, isNameFor, Venus as seen before sunrise]
-
A.
nameOf
chosen
Indicates that one entity is the name or designation of another entity.
-
B.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
C.
isPersonalName
Indicates that the value is a personal name identifying an individual person.
-
D.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
E.
isGivenNameOfFictionalCharacter
Indicates that a given name is the personal name borne by a fictional character.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.