Triple
T27833317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joel Spolsky |
E703159
|
entity |
| Predicate | wasChairmanOf |
P163393
|
FINISHED |
| Object | Stack Overflow |
—
|
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: Stack Overflow | Statement: [Joel Spolsky, wasChairmanOf, Stack Overflow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasChairmanOf Context triple: [Joel Spolsky, wasChairmanOf, Stack Overflow]
-
A.
firstChairman
Indicates that one entity is the inaugural or earliest-serving chairman of another entity or organization.
-
B.
coChairpersonOf
Indicates that a person serves jointly with one or more others as the chairperson of a group, organization, or committee.
-
C.
lastChairman
Indicates that one entity served as the most recent (final or current) chairman of another entity.
-
D.
wasGeneralSecretaryOf
Indicates that a person held the position of General Secretary of a particular organization or body.
-
E.
firstGeneralSecretary
Indicates that the subject is the first person to hold the position of General Secretary of the specified organization or body.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6389e32ec8190aad8e24090ec980a |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:57 p.m.