Triple
T26943571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo |
E678578
|
entity |
| Predicate | roleInBadBatch |
P191558
|
FINISHED |
| Object | tech specialist |
—
|
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: tech specialist | Statement: [Echo, roleInBadBatch, tech specialist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBadBatch Context triple: [Echo, roleInBadBatch, tech specialist]
-
A.
roleOnTheBlacklist
Indicates that an entity holds a specific role or status that has been designated as blacklisted or prohibited.
-
B.
roleInBackdraft2
Indicates that an entity has a role or participation in the production or narrative of "Backdraft 2."
-
C.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
D.
roleInBun
Indicates that an entity has a specific functional or contextual role within a particular bundle, grouping, or composite structure.
-
E.
roleInLap
Indicates the specific function or position an entity holds during a particular lap within a sequence of laps.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 27, 2026, 6:20 a.m.