Triple
T18549110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Weinstein-Bacal |
E453320
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bacal
Bacal is a surname most notably associated with individuals such as Natalie Weinstein-Bacal.
|
E1330616
|
NE FINISHED |
How this triple was built (4 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: Bacal | Statement: [Natalie Weinstein-Bacal, familyName, Bacal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacal Context triple: [Natalie Weinstein-Bacal, familyName, Bacal]
-
A.
Bacala
Bacala is the affectionate nickname of Bobby Baccalieri, a gentle yet loyal mobster character from the television series "The Sopranos."
-
B.
Navarin
Navarin is an alternative name for the Battle of Navarino, a decisive 1827 naval engagement during the Greek War of Independence in which an Ottoman-Egyptian fleet was destroyed by a combined British, French, and Russian force.
-
C.
Canillejas
Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
-
D.
Carnaza
Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
-
E.
Barugo
Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bacal Triple: [Natalie Weinstein-Bacal, familyName, Bacal]
Generated description
Bacal is a surname most notably associated with individuals such as Natalie Weinstein-Bacal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bacal Target entity description: Bacal is a surname most notably associated with individuals such as Natalie Weinstein-Bacal.
-
A.
Bacala
Bacala is the affectionate nickname of Bobby Baccalieri, a gentle yet loyal mobster character from the television series "The Sopranos."
-
B.
Navarin
Navarin is an alternative name for the Battle of Navarino, a decisive 1827 naval engagement during the Greek War of Independence in which an Ottoman-Egyptian fleet was destroyed by a combined British, French, and Russian force.
-
C.
Canillejas
Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
-
D.
Carnaza
Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
-
E.
Barugo
Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
- F. None of above. chosen
Provenance (5 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534beeb408190a03f6d7c3f2ef389 |
completed | April 19, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049add8acc8190b00aeae2555ca593 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049bf32520819091b9deaba331f9ca |
completed | May 13, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049ccb59108190870c11bd11949f3b |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:38 a.m.