Triple
T38464486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinstripe Potoroo |
E912528
|
entity |
| Predicate | bossNumberInCrashBandicoot |
P190926
|
FINISHED |
| Object | fourth boss |
—
|
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: fourth boss | Statement: [Pinstripe Potoroo, bossNumberInCrashBandicoot, fourth boss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bossNumberInCrashBandicoot Context triple: [Pinstripe Potoroo, bossNumberInCrashBandicoot, fourth boss]
-
A.
BearTrapCourse
Indicates a course or path that is hazardous or deceptive, functioning like a bear trap by luring entities into a situation that is difficult or harmful to escape.
-
B.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
C.
distinguishingFromBandicoots
Indicates that something is being differentiated or set apart specifically from bandicoots, emphasizing how it is not a bandicoot or does not share key characteristics with bandicoots.
-
D.
isMacropod
Indicates that an entity belongs to the macropod group, typically characterized as kangaroos, wallabies, or closely related species.
-
E.
batName
Indicates that a bat is identified by or associated with a specific name.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.