Triple
T19736339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Singer |
E473992
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Singer |
—
|
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: Singer | Statement: [Margaret Singer, familyName, Singer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singer Context triple: [Margaret Singer, familyName, Singer]
-
A.
Singer
chosen
Singer is a common surname of Germanic origin borne by various notable individuals across literature, music, and other fields.
-
B.
Singer 301
The Singer 301 is a mid-20th-century, slant-needle, straight-stitch sewing machine prized for its durability, smooth performance, and status as a classic “Featherweight’s big sister” among vintage sewing enthusiasts.
-
C.
Sing
"Sing" is a gentle, melodic pop song popularized by the soft rock duo The Carpenters in the 1970s.
-
D.
Sing
Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
-
E.
Sing
"Sing" is an anthemic rock song by My Chemical Romance known for its uplifting message about using one’s voice to inspire change.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ddea881909ea831b7bc16d934 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.