Triple
T17085280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckett's crew |
E414579
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Val |
E348024
|
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: Val | Statement: [Beckett's crew, member, Val]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Context triple: [Beckett's crew, member, Val]
-
A.
Val
Val is a short form of the given name Valter, typically used as a familiar or abbreviated version of the full name.
-
B.
Val
Val is the Allied reporting name for the Aichi D3A, a Japanese World War II carrier-based dive bomber used prominently in early Pacific naval battles.
-
C.
Val
chosen
Val is a rebellious and skilled criminal associate in the Star Wars universe, portrayed by Thandiwe Newton in the film "Solo: A Star Wars Story."
-
D.
Val
Val is the given name of American physicist and Nobel laureate Val Fitch, known for his work on CP violation in particle physics.
-
E.
Vals
Vals is a Swiss Alpine village in the canton of Graubünden, renowned for its hot springs and Peter Zumthor’s iconic Therme Vals spa complex.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe6d5288190bdaec41c642d52a2 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee651ec8190a37c5997f394d24b |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.