Triple
T9633945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dev |
E232878
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Dev |
unclear NED1
|
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: Dev | Statement: [Dev, hasName, Dev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dev Context triple: [Dev, hasName, Dev]
-
A.
Dev
Dev is the child of Indian actress Jyothika, known for her prominent work in Tamil cinema.
-
B.
Dev
Dev is a character from the British television series "Dot."
-
C.
Dev
Dev is the experimental Google Chrome release channel intended for developers and early adopters to test upcoming features and changes before they reach more stable versions.
-
D.
Dev
Dev is a science fiction television miniseries created by Alex Garland that explores themes of determinism, free will, and advanced technology through a mysterious quantum computing company.
-
E.
DEV
DEV is the abbreviation for the OECD Development Centre, a policy-oriented institution that conducts research and dialogue to support sustainable economic and social development worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18237e2608190a3e7d45231a35efd |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:11 p.m.