Triple
T17942376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krikor Zohrab |
E448616
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zohrab |
—
|
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: Zohrab | Statement: [Krikor Zohrab, familyName, Zohrab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zohrab Context triple: [Krikor Zohrab, familyName, Zohrab]
-
A.
Shobab
Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
-
B.
Nadim
Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
-
C.
Rouben
Rouben is a masculine given name most notably borne by Armenian-American film and theatre director Rouben Mamoulian.
-
D.
Sohrab
chosen
Sohrab is a tragic hero in the Persian epic Shahnameh, famed as the valiant but ill-fated son of the champion Rostam.
-
E.
Ara Zobayan
Ara Zobayan was an experienced commercial helicopter pilot best known for being at the controls during the 2020 Calabasas crash that killed Kobe Bryant, his daughter Gianna, and seven others.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.