Triple
T17171603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stark Sands |
E416747
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stark |
E149830
|
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: Stark | Statement: [Stark Sands, givenName, Stark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stark Context triple: [Stark Sands, givenName, Stark]
-
A.
Stark
chosen
Stark is a common surname of Scottish origin associated with various notable figures in politics, science, and popular culture.
-
B.
Starke
Starke is a small city in north-central Florida known as the county seat of Bradford County and a regional hub along U.S. Route 301.
-
C.
Stal
Stal is the commonly used short name and nickname of the Polish football club Stal Mielec.
-
D.
Stark Resilient
Stark Resilient is a cutting-edge technology and engineering company founded and led by Tony Stark in the Marvel Comics universe, focusing on advanced, sustainable innovations.
-
E.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ac22481909e992bb3a6ba36ad |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483f85648190acaeb197013e1f1b |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.