Triple
T15529727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammond Beeby and Babka |
E370179
|
entity |
| Predicate | hasNamePart |
P5298
|
FINISHED |
| Object | Beeby |
E550620
|
NE FINISHED |
How this triple was built (2 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: Beeby | Statement: [Hammond Beeby and Babka, hasNamePart, Beeby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beeby Context triple: [Hammond Beeby and Babka, hasNamePart, Beeby]
-
A.
Beeby
chosen
Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
-
B.
The Bee
The Bee is the 16th chapter of the Qur'an, known for its emphasis on God's blessings, signs in nature, and guidance for righteous living.
-
C.
Beeban
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
-
D.
Beeswing
"Beeswing" is a widely acclaimed folk ballad by British singer-songwriter Richard Thompson, celebrated for its poignant storytelling and emotional depth.
-
E.
Hunnybee
"Hunnybee" is a dreamy, psychedelic indie rock song by Unknown Mortal Orchestra, known for its smooth groove, lush production, and bittersweet, nostalgic mood.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5b989c8190a76612df167ba1dd |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:05 a.m.