Triple
T3503509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Nilsson |
E74020
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | Coconut |
E285075
|
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: Coconut | Statement: [Harry Nilsson, wroteSong, Coconut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coconut Context triple: [Harry Nilsson, wroteSong, Coconut]
-
A.
Cocos nucifera
chosen
Cocos nucifera is the coconut palm, a tropical monocot tree cultivated worldwide for its fruit, oil, fiber, and other versatile products.
-
B.
Mangifera
Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
-
C.
Banana
Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
-
D.
Banana
"Banana" is a comedic animated short film set in the Despicable Me universe, featuring the Minions in a slapstick adventure centered around their obsession with bananas.
-
E.
Mango
Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf0c2b48190b49923137bb9e45d |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e6aea8c81908dbe4748dd8a9d9c |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.