Triple
T23175550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Percival Christopher Wren |
E578990
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wren |
—
|
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: Wren | Statement: [Percival Christopher Wren, familyName, Wren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wren Context triple: [Percival Christopher Wren, familyName, Wren]
-
A.
Wren
chosen
Wren is a given name that can be used for people of any gender, inspired by the small songbird of the same name.
-
B.
Wren
Wren is an unincorporated community in Benton County, Oregon, known for its rural setting near the Marys River.
-
C.
Pidgeon
Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
-
D.
Sparrow
Sparrow is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her involvement in the strip’s interconnected lesbian and queer community.
-
E.
Sparrow
Sparrow is a small, sociable songbird commonly found in urban and rural areas around the world.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6a8644819099b107bb13ea16ff |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.