Triple
T31818880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hewlett-Packard garage in Palo Alto |
E812209
|
entity |
| Predicate | foundersWorkedHere |
P195693
|
FINISHED |
| Object | Bill Hewlett |
—
|
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: Bill Hewlett | Statement: [Hewlett-Packard garage in Palo Alto, foundersWorkedHere, Bill Hewlett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundersWorkedHere Context triple: [Hewlett-Packard garage in Palo Alto, foundersWorkedHere, Bill Hewlett]
-
A.
worksForCompanyFoundedBy
Indicates that a person is employed by a company that was founded by a specified individual.
-
B.
hasCompanyFoundedThere
Indicates that a company was founded at or in the specified location.
-
C.
associatedWorkOfFounder
Indicates a relationship where a work (such as a publication, project, or creation) is linked to the person who founded or established it.
-
D.
currentFounder
Indicates that an entity is a present, active founder of another entity (such as an organization or company).
-
E.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69fddf70ab10819088b76bd98e208354 |
completed | May 8, 2026, 1:04 p.m. |
Created at: April 30, 2026, 11:45 p.m.