Triple
T13030672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Sarazen |
E326430
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Saraceni
Saraceni is the original Italian family name of Gene Sarazen, the legendary American professional golfer and seven-time major champion.
|
E1016433
|
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: Saraceni | Statement: [Gene Sarazen, familyName, Saraceni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraceni Context triple: [Gene Sarazen, familyName, Saraceni]
-
A.
Saracena
Saracena is a historic town and comune in the Calabria region of southern Italy, known for its medieval architecture and traditional Moscato di Saracena wine.
-
B.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
C.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
D.
Turrivalignani
Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
-
E.
Parlasco
Parlasco is a small village and municipality in the Lombardy region of northern Italy, situated in the mountainous area of the Province of Lecco.
- 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: Saraceni Triple: [Gene Sarazen, familyName, Saraceni]
Generated description
Saraceni is the original Italian family name of Gene Sarazen, the legendary American professional golfer and seven-time major champion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saraceni Target entity description: Saraceni is the original Italian family name of Gene Sarazen, the legendary American professional golfer and seven-time major champion.
-
A.
Saracena
Saracena is a historic town and comune in the Calabria region of southern Italy, known for its medieval architecture and traditional Moscato di Saracena wine.
-
B.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
C.
Montescaglioso
Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
-
D.
Turrivalignani
Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
-
E.
Parlasco
Parlasco is a small village and municipality in the Lombardy region of northern Italy, situated in the mountainous area of the Province of Lecco.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efd18308190877b3269403b36e2 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c123c36c8190b3fbf9cbb3b7ecf9 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c3beaf6881909be9c839206817b3 |
completed | May 3, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c48ee33c8190a50b308b12c08951 |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 9, 2026, 8:54 p.m.