Triple
T5169790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zellig Harris |
E116648
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zellig |
E116648
|
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: Zellig | Statement: [Zellig Harris, givenName, Zellig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zellig Context triple: [Zellig Harris, givenName, Zellig]
-
A.
Zellig
chosen
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
-
B.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
C.
Gazelli
Gazelli is an Italian noble family name associated with the aristocratic lineage of Luisa Gazelli dei Conti di Rossana.
-
D.
Banzi
Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
-
E.
Ziza
Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794f44248190a3a90c92208104a7 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed93f33ac8190b2f60a8e95685bc8 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:45 p.m.