Triple
T8776384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vamp |
E208592
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | AJ |
E49823
|
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: AJ | Statement: [Vamp, character, AJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AJ Context triple: [Vamp, character, AJ]
-
A.
AJ
AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
-
B.
AJ
chosen
AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
-
C.
AYJ
AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
-
D.
AE
AE is the IATA airline designator assigned to Mandarin Airlines, a regional carrier based in Taiwan.
-
E.
AE
AE is the standard abbreviation for a DICOM Application Entity, which represents a logical device or software component that exchanges medical imaging data within a DICOM network.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f5086088190b317cf2aac7bee83 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51ceee2c81908d521cc4931e25dd |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:42 p.m.