Triple
T14678728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Gascoine |
E344717
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gascoine
Gascoine is a surname most notably associated with English actress and novelist Jill Gascoine.
|
E1113393
|
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: Gascoine | Statement: [Jill Gascoine, familyName, Gascoine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gascoine Context triple: [Jill Gascoine, familyName, Gascoine]
-
A.
GenCoin
GenCoin is a fictional cryptocurrency startup concept often used to explore themes of digital finance, tech disruption, and speculative investment.
-
B.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
C.
Minecoins
Minecoins are Minecraft’s official premium in-game currency used to purchase skins, texture packs, worlds, and other content from the Minecraft Marketplace.
-
D.
Zcash
Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
-
E.
Bitcoin Cash
Bitcoin Cash is a decentralized cryptocurrency that forked from Bitcoin to offer faster, cheaper peer-to-peer payments through larger block sizes.
- 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: Gascoine Triple: [Jill Gascoine, familyName, Gascoine]
Generated description
Gascoine is a surname most notably associated with English actress and novelist Jill Gascoine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gascoine Target entity description: Gascoine is a surname most notably associated with English actress and novelist Jill Gascoine.
-
A.
GenCoin
GenCoin is a fictional cryptocurrency startup concept often used to explore themes of digital finance, tech disruption, and speculative investment.
-
B.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
C.
Minecoins
Minecoins are Minecraft’s official premium in-game currency used to purchase skins, texture packs, worlds, and other content from the Minecraft Marketplace.
-
D.
Zcash
Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
-
E.
Bitcoin Cash
Bitcoin Cash is a decentralized cryptocurrency that forked from Bitcoin to offer faster, cheaper peer-to-peer payments through larger block sizes.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17e5a1c8190b1bf5565eab9d519 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde54010148190b2bb3fcb58032522 |
completed | May 8, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde6291df88190a5414a82e719e47d |
completed | May 8, 2026, 1:33 p.m. |
Created at: April 10, 2026, 1:27 a.m.