Triple
T4845818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becky Hammon |
E108287
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hammon
Hammon is the surname of Becky Hammon, a prominent basketball coach and former professional player.
|
E474331
|
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: Hammon | Statement: [Becky Hammon, familyName, Hammon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammon Context triple: [Becky Hammon, familyName, Hammon]
-
A.
Jambon
Jambon is a surname most notably associated with Belgian politician Jan Jambon.
-
B.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
C.
Bayonne ham
Bayonne ham is a traditional dry-cured French ham renowned for its delicate flavor and centuries-old artisanal production methods.
-
D.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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: Hammon Triple: [Becky Hammon, familyName, Hammon]
Generated description
Hammon is the surname of Becky Hammon, a prominent basketball coach and former professional player.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hammon Target entity description: Hammon is the surname of Becky Hammon, a prominent basketball coach and former professional player.
-
A.
Jambon
Jambon is a surname most notably associated with Belgian politician Jan Jambon.
-
B.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
C.
Bayonne ham
Bayonne ham is a traditional dry-cured French ham renowned for its delicate flavor and centuries-old artisanal production methods.
-
D.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d19784c81908e256ea23889192b |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cd6dbcc8190b802eeb6d74fd37d |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5f154094819095e09e6a5627f7dc |
completed | March 21, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5f78eb7881908707f54b899e8dda |
completed | March 21, 2026, 9:06 a.m. |
Created at: March 20, 2026, 1:25 p.m.