Triple
T15185191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drew MacFarlane |
E362853
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zaba |
E341160
|
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: Zaba | Statement: [Drew MacFarlane, notableWork, Zaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaba Context triple: [Drew MacFarlane, notableWork, Zaba]
-
A.
Zaba
chosen
Zaba is the debut studio album by English indie rock band Glass Animals, noted for its lush, tropical soundscapes and atmospheric production.
-
B.
Zuba
Zuba is a rapidly growing suburban town near Nigeria’s capital, Abuja, known as a key transit and commercial hub connecting the city to surrounding regions.
-
C.
Zoba
Zoba is a subtribe within the Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
-
D.
Zhibiani
Zhibiani is one of the historic hamlets that make up the high-altitude village community of Ushguli in Georgia’s Svaneti region.
-
E.
Zabban
Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec893f1e08190a192b7b9b80484e8 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.