Triple
T1034715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Packard Orr |
E22333
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Orr |
E51170
|
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: Orr | Statement: [Susan Packard Orr, givenName, Orr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orr Context triple: [Susan Packard Orr, givenName, Orr]
-
A.
Orr
chosen
Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
-
B.
Orit
Orit is the traditional biblical canon of Ethiopian Jews, encompassing their sacred scriptures and guiding religious teachings.
-
C.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
D.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
E.
Oker
The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b814c16c8190ac4d20feecdadbae |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc15a6c81909a71bf17b5cd4019 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.