Triple
T34860176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Simson |
E1004844
|
entity |
| Predicate | isUnawareOfPastOf |
P22661
|
FINISHED |
| Object | Duchess |
—
|
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: Duchess | Statement: [Tom Simson, isUnawareOfPastOf, Duchess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUnawareOfPastOf Context triple: [Tom Simson, isUnawareOfPastOf, Duchess]
-
A.
ignorantOf
chosen
Indicates that one entity lacks knowledge or awareness of another entity or of some specific fact, topic, or situation.
-
B.
meetsInPast
Indicates that two entities encountered or came together at some point in the past.
-
C.
hasOwnerInThePast
Indicates that an entity was owned by another entity at some time in the past, but not necessarily in the present.
-
D.
functionInPast
Indicates that an entity previously served or operated in a particular role, capacity, or function during an earlier time period.
-
E.
notEarlierThan
Indicates that one event, time, or state does not occur before another, i.e., it is simultaneous with or later than the referenced point.
- F. None of above.
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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.