Triple
T30776581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 15 Blenheim Road |
E783689
|
entity |
| Predicate | narrativelyObservedBy |
P1165
|
FINISHED |
| Object | Rachel Watson |
—
|
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: Rachel Watson | Statement: [15 Blenheim Road, narrativelyObservedBy, Rachel Watson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativelyObservedBy Context triple: [15 Blenheim Road, narrativelyObservedBy, Rachel Watson]
-
A.
narratesWith
Indicates that one entity tells, recounts, or presents a story, event, or information in conjunction with or alongside another entity.
-
B.
narratesAs
Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of another entity.
-
C.
observedBy
chosen
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
D.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
E.
narrativePresence
Indicates that an entity appears or is involved within the narrative or storyline of another entity.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 29, 2026, 8:40 p.m.