Triple
T9745501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeriano |
E236294
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Valerian |
E551056
|
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: Valerian | Statement: [Valeriano, hasVariant, Valerian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valerian Context triple: [Valeriano, hasVariant, Valerian]
-
A.
Valerian
Valerian is a space-traveling special agent and the central protagonist of the science fiction film "Valerian and the City of a Thousand Planets."
-
B.
Valerian
chosen
Valerian was a 3rd-century Roman emperor whose reign is most remembered for his catastrophic defeat and capture by the Sasanian king Shapur I.
-
C.
Angelica
Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
-
D.
Angelica
Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
-
E.
Angelica
Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f65ad788190b68d731b6f516d93 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd2e08c8190808b58fdabe0c9d3 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:23 p.m.