Triple
T3271654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Storch |
E68661
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Scott |
E16784
|
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: Scott | Statement: [Scott Storch, givenName, Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Context triple: [Scott Storch, givenName, Scott]
-
A.
Scott
chosen
Scott is the middle name of Francis Scott Key, the American lawyer and poet who wrote the lyrics to the United States national anthem, "The Star-Spangled Banner."
-
B.
Kay
Kay is a common diminutive or nickname for the given name Catherine.
-
C.
Blaine
Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
-
D.
Van
Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
-
E.
Brandon
Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff4b9dc8190b7e3da0bbffccf99 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f02a620819091356c965b2aceef |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:10 p.m.