Triple
T16156806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leilani Sarelle |
E392064
|
entity |
| Predicate | participatedIn |
P149
|
FINISHED |
| Object | Dallas |
E669436
|
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: Dallas | Statement: [Leilani Sarelle, participatedIn, Dallas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dallas Context triple: [Leilani Sarelle, participatedIn, Dallas]
-
A.
Dallas
Dallas is a small borough in northeastern Pennsylvania known as part of the suburban and educational hub of the Wyoming Valley near Wilkes-Barre.
-
B.
Dallas
chosen
Dallas is a major city in north Texas known for its role as a commercial and cultural hub, particularly in the energy, telecommunications, and technology industries.
-
C.
Dallas
Dallas is a major city in northern Texas known for its role as a commercial and cultural hub, with a prominent skyline, diverse population, and significant influence in business, arts, and sports.
-
D.
Dallas
Dallas is a major city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and the energy industry.
-
E.
Dallas
Dallas is a character appearing in the "Home Invasion" storyline.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5aa57c8190a9d89dd57e30318f |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f83f6ac8190b9f18fe701a9b3ce |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:01 a.m.