Triple
T3934280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chick Gandil |
E90871
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gandil
Gandil is the surname of Chick Gandil, an American baseball first baseman best known as a ringleader in the 1919 Black Sox scandal.
|
E401013
|
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: Gandil | Statement: [Chick Gandil, familyName, Gandil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gandil Context triple: [Chick Gandil, familyName, Gandil]
-
A.
Gedo
Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
-
B.
Gillam
Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
-
C.
Guna
The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
-
D.
Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
-
E.
Ganda
Ganda is a Bantu language spoken primarily in Uganda, where it serves as a major lingua franca and the language of the Baganda people.
- 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: Gandil Triple: [Chick Gandil, familyName, Gandil]
Generated description
Gandil is the surname of Chick Gandil, an American baseball first baseman best known as a ringleader in the 1919 Black Sox scandal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gandil Target entity description: Gandil is the surname of Chick Gandil, an American baseball first baseman best known as a ringleader in the 1919 Black Sox scandal.
-
A.
Gedo
Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
-
B.
Gillam
Gillam is a small remote community in northern Manitoba, Canada, known as a service and access point for nearby wilderness areas and hydroelectric developments.
-
C.
Guna
The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
-
D.
Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
-
E.
Ganda
Ganda is a Bantu language spoken primarily in Uganda, where it serves as a major lingua franca and the language of the Baganda people.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5338afa348190bc5ac0b0319c6e45 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b53404294881908a91dced77133b57 |
completed | March 14, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b53482a40c8190bd62b0bc8df92c0c |
completed | March 14, 2026, 10:12 a.m. |
Created at: March 9, 2026, 3:23 p.m.