Triple
T1502099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idina Menzel |
E33817
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Idina |
E118897
|
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: Idina | Statement: [Idina Menzel, givenName, Idina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idina Context triple: [Idina Menzel, givenName, Idina]
-
A.
Ariana
Ariana is the first name of American pop singer and actress Ariana Grande, widely known for her powerful vocals and chart-topping hits.
-
B.
Ilana
Ilana is a fictional character associated with the work titled "Dawn."
-
C.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
D.
Dina
chosen
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
E.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872e41848190b35b37f32aef784f |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb578e4819082d254462e10e4f0 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 4, 2026, 7:24 p.m.