Triple
T15451521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon Dykes |
E371661
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dykes |
E797542
|
NE 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: Dykes | Statement: [Lyndon Dykes, familyName, Dykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dykes Context triple: [Lyndon Dykes, familyName, Dykes]
-
A.
Dykes
chosen
Dykes is a surname most notably associated with American football coach Spike Dykes and his family.
-
B.
Dykes to Watch Out For
Dykes to Watch Out For is a long-running, influential comic strip by Alison Bechdel that chronicles the lives and politics of a diverse group of lesbian friends.
-
C.
The Brecks
The Brecks is a distinctive region in eastern England characterized by its sandy soils, heathland landscapes, and unique biodiversity.
-
D.
Errançities
Errançities is a poetry collection by Quincy Troupe that explores themes of movement, identity, and African diasporic experience through innovative, jazz-inflected language.
-
E.
The Ponds
The Ponds is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b1e9688190a283dbc552072ce0 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.