Triple
T15757176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillie Olsen |
E381996
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tillie |
E1112746
|
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: Tillie | Statement: [Tillie Olsen, givenName, Tillie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tillie Context triple: [Tillie Olsen, givenName, Tillie]
-
A.
Tillie
chosen
Tillie is a diminutive given name commonly used as a nickname for Matilda.
-
B.
Tillie
Tillie is a character in the 1967 film "Guess Who's Coming to Dinner," serving as the Drayton family's outspoken and protective housekeeper.
-
C.
Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
-
D.
Elsie
Elsie is the internal codename Apple used for the Macintosh LC personal computer during its development.
-
E.
Elsie
Elsie is a feminine given name, originally a diminutive of Elizabeth, that has become a standalone name in its own right.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b1ff4881909d5240d1d30f5c8b |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877311dc8190b55fe7ca5c0843da |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.