Triple
T3084444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Stark |
E64335
|
entity |
| Predicate | familyName |
P18
|
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: [Albert Stark, familyName, Stark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stark Context triple: [Albert Stark, familyName, Stark]
-
A.
Stark
chosen
Stark is a common surname of Scottish origin associated with various notable figures in politics, science, and popular culture.
-
B.
Steele
Steele is a surname most notably borne by Charles Steele Jr., an American civil rights leader and former president of the Southern Christian Leadership Conference.
-
C.
Kraftt
Kraftt is an alternative or variant form of the name "Kraft," likely referring to the same or a closely related entity, such as the well-known food brand or surname.
-
D.
Durst
Durst is a surname most prominently associated with the New York real estate–developing Durst family, including figures such as Joseph Durst and his descendants.
-
E.
Stark Factory
Stark Factory is a Marvel-themed quick-service restaurant at Disneyland Paris’s Avengers Campus, styled as a repurposed Stark Industries industrial facility.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89b650c8190983a00e37a42a794 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:03 p.m.