Triple
T34397770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Lanier |
E882879
|
entity |
| Predicate | managerialReputation |
P87297
|
FINISHED |
| Object | emphasis on pitching and defense |
—
|
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: emphasis on pitching and defense | Statement: [Hal Lanier, managerialReputation, emphasis on pitching and defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managerialReputation Context triple: [Hal Lanier, managerialReputation, emphasis on pitching and defense]
-
A.
managerReputation
Indicates the perceived quality, trustworthiness, and effectiveness of a manager as judged by others.
-
B.
reputationHub
Indicates a central entity that aggregates, manages, or influences the reputations of multiple other entities.
-
C.
durabilityReputation
Indicates the perceived reliability and longevity of an entity’s products or services based on past performance or user experience.
-
D.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
E.
hasProfessionalReputationFor
chosen
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 1:59 a.m.