Triple
T35042327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nostromo |
E1011100
|
entity |
| Predicate | nicknameOfComputer |
P182040
|
FINISHED |
| Object | Mother |
—
|
NE NERFINISHED |
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: Mother | Statement: [Nostromo, nicknameOfComputer, Mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOfComputer Context triple: [Nostromo, nicknameOfComputer, Mother]
-
A.
nicknameOfProgram
Indicates that one name is used as an informal or alternative nickname for a particular program.
-
B.
keyboardNickname
Indicates that one entity is used as a nickname or informal label for a keyboard-related entity.
-
C.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
-
D.
nickNameGivenBy
Indicates that one entity assigns or uses a particular nickname for another entity.
-
E.
mouseNickname
Indicates that one entity is used as a nickname or informal name for a mouse-related entity (such as a mouse character, device, or individual associated with mice).
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.