Triple
T14808739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Ash |
E348111
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Ash |
E965175
|
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: Ash | Statement: [Sydney Ash, hasSurname, Ash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ash Context triple: [Sydney Ash, hasSurname, Ash]
-
A.
Ash
chosen
Ash is a common English surname borne by numerous individuals across various professions and regions.
-
B.
Ash
Ash is the insecure yet determined son of Mr. Fox in Roald Dahl’s story and its film adaptation, known for his quirky personality and desire to prove himself.
-
C.
Ash
Ash is a variant or alternative form of the name Nash, often used as a given name or nickname in its own right.
-
D.
Ash
Ash is a teenage porcupine and aspiring rock musician who serves as one of the central animal performers in the animated film Sing 2.
-
E.
Ash
Ash is the talented street dancer protagonist of the film "StreetDance 2," known for blending diverse dance styles in high-energy competitions.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:45 a.m.