Triple
T37335791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serious Sam Double D |
E926889
|
entity |
| Predicate | seriesSpinOffFrom |
P179093
|
FINISHED |
| Object | Serious Sam |
—
|
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: Serious Sam | Statement: [Serious Sam Double D, seriesSpinOffFrom, Serious Sam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesSpinOffFrom Context triple: [Serious Sam Double D, seriesSpinOffFrom, Serious Sam]
-
A.
hasSpinOff
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
B.
franchiseSpinOff
chosen
Indicates that one work, series, or product is derived from and exists as a spin-off within the same overarching franchise as another.
-
C.
hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
-
D.
genreOfSpinOff
Indicates that one work’s genre is the basis or source genre for a spin-off work derived from it.
-
E.
networkOfSpinOff
Indicates a relationship where one entity is part of, or connected through, a series or group of spin-off entities originating from another entity.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4:16 p.m.