Triple
T8503092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Shermer |
E201269
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shermer |
E201269
|
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: Shermer | Statement: [Michael Shermer, familyName, Shermer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shermer Context triple: [Michael Shermer, familyName, Shermer]
-
A.
Shermer
chosen
Shermer is the surname of Michael Shermer, an American science writer and founder of The Skeptics Society known for promoting scientific skepticism.
-
B.
Ojai
Ojai is a small, scenic city in Southern California known for its arts community, boutique tourism, and surrounding mountains and orange groves.
-
C.
Redlands
Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
-
D.
La Elipa
La Elipa is a Madrid Metro station in the Ciudad Lineal district, serving the residential neighborhood of the same name on Line 2.
-
E.
Berkley
Berkley is a small rural town in Bristol County, Massachusetts, known for its quiet residential character and proximity to the Taunton River.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59c413881909513d8a9d52333c0 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e26a3108190a48b00c2927be971 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.