Triple
T20193335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash Ketchum |
E493023
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | May |
—
|
NE NERFINISHED |
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: May | Statement: [Ash Ketchum, friend, May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May Context triple: [Ash Ketchum, friend, May]
-
A.
May
May is a character associated with the Cosey Hotel and Resort, likely playing a significant role in its story or setting.
-
B.
May
May is a fictional character appearing in the universe of the novel "Love."
-
C.
May
chosen
May is a feminine given name commonly used in English-speaking countries, often associated with the month of May and sometimes used as a diminutive of names like Mary or Margaret.
-
D.
May
May is the young, unfaithful wife in Geoffrey Chaucer’s "The Merchant’s Tale," whose adultery and manipulation highlight the poem’s darkly comic view of marriage.
-
E.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7270081908ed8513a8363e9b1 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.