Triple
T8507288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame |
E201364
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Ashley |
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: Ashley | Statement: [Hall of Fame, hasSong, Ashley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Context triple: [Hall of Fame, hasSong, Ashley]
-
A.
Ashley
Ashley is a given name commonly used in English-speaking countries for both males and females.
-
B.
Ashley
Ashley is a small village and civil parish located within the county of Suffolk in eastern England.
-
C.
Ashley
Ashley is a character featured in the animated children’s series "¡Dos!"
-
D.
Ashley Connor
Ashley Connor is an American cinematographer known for her visually distinctive, character-driven work on independent films and television.
-
E.
Ashley Blaine Featherson
Ashley Blaine Featherson is an American actress best known for her role as Joelle Brooks in the Netflix comedy-drama series "Dear White People."
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5de18448190a695eec609b34e1a |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d257a748190b33873ee0d252d2e |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:14 p.m.