Triple
T27138919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Tipton |
E681763
|
entity |
| Predicate | hasCharacterOnboard |
P175628
|
FINISHED |
| Object | Zack Martin |
—
|
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: Zack Martin | Statement: [SS Tipton, hasCharacterOnboard, Zack Martin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterOnboard Context triple: [SS Tipton, hasCharacterOnboard, Zack Martin]
-
A.
hasPilotOnboard
Indicates that a vehicle or craft currently has a pilot physically present and onboard.
-
B.
hasOnboardFeature
Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
-
C.
hasOnboardSystems
Indicates that an entity is equipped with or contains specific onboard systems or subsystems.
-
D.
hasPlatformOn
Indicates that one entity is physically supported by or situated on the surface or structure of another entity.
-
E.
hasOnboardComputer
Indicates that one entity is equipped with or contains an onboard computer system.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 27, 2026, 9:08 a.m.