Triple
T10239724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Bibby |
E243555
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bibby
Bibby is a surname most prominently associated with former NBA point guard Mike Bibby.
|
E853404
|
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: Bibby | Statement: [Mike Bibby, familyName, Bibby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibby Context triple: [Mike Bibby, familyName, Bibby]
-
A.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
B.
Bubs
Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
-
C.
Liddy
Liddy is a surname most notably associated with G. Gordon Liddy, the former FBI agent and key figure in the Watergate scandal.
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
- 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: Bibby Triple: [Mike Bibby, familyName, Bibby]
Generated description
Bibby is a surname most prominently associated with former NBA point guard Mike Bibby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bibby Target entity description: Bibby is a surname most prominently associated with former NBA point guard Mike Bibby.
-
A.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
B.
Bubs
Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
-
C.
Liddy
Liddy is a surname most notably associated with G. Gordon Liddy, the former FBI agent and key figure in the Watergate scandal.
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21e27f08190b956d351a75c7c52 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f776464881908957e1ac4b49d936 |
completed | April 9, 2026, 12:48 a.m. |
| NEDg | Description generation | batch_69d6fa2f7a848190a9de5de4d0f3f110 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcbab3ec8190ade1c0223c22ad58 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:24 a.m.