Triple
T22542309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemmie Dixon Spangler Jr. |
E557324
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clemmie |
—
|
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: Clemmie | Statement: [Clemmie Dixon Spangler Jr., givenName, Clemmie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clemmie Context triple: [Clemmie Dixon Spangler Jr., givenName, Clemmie]
-
A.
Clemmie
chosen
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
-
B.
Clemie
Clemie is a given name, typically used as a diminutive or variant of the name Clem.
-
C.
Madame Mallory
Madame Mallory is a proud, exacting French restaurateur who runs a Michelin-starred restaurant and becomes both rival and mentor to an Indian family in *The Hundred-Foot Journey*.
-
D.
Emmaline
Emmaline is a central character in Louise Erdrich’s novel "LaRose," playing a key role in the story’s exploration of family, grief, and cultural identity.
-
E.
Miss O'Dell
"Miss O'Dell" is a 1973 George Harrison song, released as the B-side to "Give Me Love (Give Me Peace on Earth)" and inspired by his friend and Apple Records secretary Chris O'Dell.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f330a40819098df6a9b0f27635e |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.