Triple
T8515387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Pantoliano |
E201559
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pantoliano
Pantoliano is the surname of American actor Joe Pantoliano, known for his character roles in film and television.
|
E740134
|
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: Pantoliano | Statement: [Joe Pantoliano, familyName, Pantoliano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pantoliano Context triple: [Joe Pantoliano, familyName, Pantoliano]
-
A.
Palaia
Palaia is a historic hilltop town in Tuscany, central Italy, known for its medieval architecture, scenic countryside, and traditional rural culture.
-
B.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
C.
Thebae
Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
-
D.
Spata
Spata is a town in the East Attica region of Greece, known for hosting Athens International Airport and for its agricultural and wine-producing traditions.
-
E.
Tithorea
Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
- 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: Pantoliano Triple: [Joe Pantoliano, familyName, Pantoliano]
Generated description
Pantoliano is the surname of American actor Joe Pantoliano, known for his character roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pantoliano Target entity description: Pantoliano is the surname of American actor Joe Pantoliano, known for his character roles in film and television.
-
A.
Palaia
Palaia is a historic hilltop town in Tuscany, central Italy, known for its medieval architecture, scenic countryside, and traditional rural culture.
-
B.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
C.
Thebae
Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
-
D.
Spata
Spata is a town in the East Attica region of Greece, known for hosting Athens International Airport and for its agricultural and wine-producing traditions.
-
E.
Tithorea
Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60f37b0819082ae14e539f57b56 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d37df3081909d8d38363b8d2304 |
completed | April 2, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69ce6e69213c8190add7eb9cc74b1a33 |
completed | April 2, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f28ae6481909a8a13613f3eb5e0 |
completed | April 2, 2026, 1:29 p.m. |
Created at: March 30, 2026, 6:15 p.m.