Triple
T3408146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penélope Cruz |
E71824
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Penélope |
E25049
|
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: Penélope | Statement: [Penélope Cruz, givenName, Penélope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penélope Context triple: [Penélope Cruz, givenName, Penélope]
-
A.
Penelope
Penelope is a genus of large, arboreal guans—game birds native to Central and South American forests and belonging to the family Cracidae.
-
B.
Penelope
chosen
Penelope is the faithful and resourceful wife of Odysseus in Greek mythology, renowned for her loyalty and cleverness during his long absence in the Odyssey.
-
C.
Helen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
-
D.
Helen
Helen is the mute, terrorized heroine of the classic 1946 psychological thriller film "The Spiral Staircase."
-
E.
Helen
Helen is the birth name of Beatrix Potter, the renowned English writer and illustrator best known for her children's books featuring animal characters such as Peter Rabbit.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdaf06c8190a8102a4e3c728066 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.