Triple
T35280836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Goliath |
E1018927
|
entity |
| Predicate | occupationInContinuity |
P180504
|
FINISHED |
| Object | scientist |
—
|
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: scientist | Statement: [Black Goliath, occupationInContinuity, scientist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationInContinuity Context triple: [Black Goliath, occupationInContinuity, scientist]
-
A.
continuityRole
Indicates that one entity serves a continuity-related function in relation to another, such as maintaining consistency or coherence across versions, segments, or states.
-
B.
continuityOfOccupation
Indicates that one occupation or tenure directly follows and maintains the previous one without interruption.
-
C.
involvedOccupationOf
chosen
Indicates that an entity participates in or is associated with a particular occupation or professional role.
-
D.
starContinuity
Indicates that there is an unbroken, consistent connection or progression involving a star (or stars) across time, space, or related contexts.
-
E.
cultContinuity
Indicates the continuation or persistence of a religious cult’s practices, beliefs, or traditions over time.
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fdaeaf88190a6b24a96634ddfe1 |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.