Triple
T9195765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Abbott |
E220702
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Abbott |
E636059
|
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: Abbott | Statement: [Lee Abbott, familyName, Abbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abbott Context triple: [Lee Abbott, familyName, Abbott]
-
A.
Abbott
Abbott is a masculine given name of English origin, historically associated with clerical or religious roles.
-
B.
Abbott
chosen
Abbott is a common English surname borne by numerous notable individuals across fields such as politics, entertainment, science, and business.
-
C.
Abbott Laboratories
Abbott Laboratories is a global healthcare company that develops and manufactures medical devices, diagnostics, branded generic medicines, and nutritional products.
-
D.
Hospira
Hospira is a pharmaceutical and medical device company known for its injectable drugs, infusion technologies, and biosimilars, operating as a subsidiary of Pfizer.
-
E.
SmithKline Beckman
SmithKline Beckman was a major American pharmaceutical and diagnostics company formed by the merger of SmithKline and Beckman Instruments, later becoming part of GlaxoSmithKline (GSK).
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87c3a3c8190b60f19873ef6e1f8 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c36d7208190a593923bad3d18e7 |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.