Triple
T5128053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antony and Cleopatra |
E115629
|
entity |
| Predicate | containsCharacter |
P5716
|
FINISHED |
| Object | Iras |
E496759
|
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: Iras | Statement: [Antony and Cleopatra, containsCharacter, Iras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iras Context triple: [Antony and Cleopatra, containsCharacter, Iras]
-
A.
Iras
chosen
Iras is a loyal attendant and companion to Cleopatra in Shakespeare’s tragedy "Antony and Cleopatra."
-
B.
Viras
Viras is a squid-like alien kaiju from the Gamera film series, known as a leader of an invading extraterrestrial race that battles the giant turtle monster.
-
C.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
D.
Ira
Ira is a supporting character in the 1984 adventure-romance film "Romancing the Stone," involved in the story’s treasure-hunting and kidnapping plot.
-
E.
Idas
Idas is a figure in Greek mythology known as a heroic but contentious suitor who abducted Marpessa and later became her husband.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd782428a081909583c7f368226daf |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfd90a848190a1c78063a437cf3c |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:42 p.m.