Triple
T19400985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparrow |
E485322
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Dykes to Watch Out For cast |
—
|
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: Dykes to Watch Out For cast | Statement: [Sparrow, partOf, Dykes to Watch Out For cast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dykes to Watch Out For cast Context triple: [Sparrow, partOf, Dykes to Watch Out For cast]
-
A.
Dykes to Watch Out For
chosen
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.
-
B.
Dykes
Dykes is a surname most notably associated with American football coach Spike Dykes and his family.
-
C.
Dyke
Dyke is a small village in the South Kesteven district of Lincolnshire, England, situated near the market town of Bourne.
-
D.
The Cherry Pickers
The Cherry Pickers was the informal nickname of the British Army cavalry regiment officially known as the 11th Hussars (Prince Albert’s Own).
-
E.
The Drowning Girls (stage)
The Drowning Girls (stage) is a theatrical production in which Tracie Thoms starred, likely centered on dark, dramatic themes involving women and water.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577454c81909d5bcd07e99b27e4 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.