Triple
T16072666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Fishel |
E389900
|
entity |
| Predicate | instagramUsername |
P3718
|
FINISHED |
| Object | daniellefishel |
E1192458
|
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: daniellefishel | Statement: [Danielle Fishel, instagramUsername, daniellefishel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: daniellefishel Context triple: [Danielle Fishel, instagramUsername, daniellefishel]
-
A.
daniellefishel
chosen
Danielle Fishel is an American actress and television personality best known for playing Topanga Lawrence on the sitcom "Boy Meets World" and its sequel "Girl Meets World."
-
B.
Danielle
Danielle is the given first name of American actress and producer Riley Keough, known for her roles in films like "Mad Max: Fury Road" and the series "Daisy Jones & The Six."
-
C.
Danielle
Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
-
D.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
E.
Danielle
Danielle is a feminine given name commonly used in English- and French-speaking countries, derived from the Hebrew name Daniel.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bf6c488190b0099a00f13f2a69 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8f12708190956f203a3e58e18b |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.