Triple
T3341077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Pond II |
E70260
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Ashley |
E241218
|
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: [Ashley Pond II, hasGivenName, Ashley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Context triple: [Ashley Pond II, hasGivenName, Ashley]
-
A.
Ashley
chosen
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 Brooke
Ashley Brooke is an actress known for her role in the film "Troop Zero."
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1c0ae44819091c851569eaf4565 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a92555c81909a4769b6ecea5721 |
completed | March 12, 2026, 7:57 p.m. |
Created at: March 8, 2026, 3:12 p.m.