Triple
T13540886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris Rainer Dart |
E323381
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
I'll Be There
"I'll Be There" is a novel by American author and screenwriter Iris Rainer Dart, best known for writing the bestseller "Beaches."
|
E1046712
|
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: I'll Be There | Statement: [Iris Rainer Dart, notableWork, I'll Be There]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'll Be There Context triple: [Iris Rainer Dart, notableWork, I'll Be There]
-
A.
I'll Be There
"I'll Be There" is a soulful 1970 ballad by The Jackson 5 that became one of their signature hits and a defining Motown classic.
-
B.
I’ll Be There
"I’ll Be There" is a soulful track performed by Cissy Houston, featured on her self-titled album.
-
C.
I Will Be There
"I Will Be There" is a pop ballad by Britney Spears from her debut album ...Baby One More Time.
-
D.
I'll Be There for You
"I'll Be There for You" is a 1994 pop rock song by The Rembrandts that became widely known as the signature theme song of the television sitcom Friends.
-
E.
Will You Be There
"Will You Be There" is a soulful pop ballad by Michael Jackson that blends gospel influences with introspective lyrics about support and vulnerability.
- 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: I'll Be There Triple: [Iris Rainer Dart, notableWork, I'll Be There]
Generated description
"I'll Be There" is a novel by American author and screenwriter Iris Rainer Dart, best known for writing the bestseller "Beaches."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I'll Be There Target entity description: "I'll Be There" is a novel by American author and screenwriter Iris Rainer Dart, best known for writing the bestseller "Beaches."
-
A.
I'll Be There
"I'll Be There" is a soulful 1970 ballad by The Jackson 5 that became one of their signature hits and a defining Motown classic.
-
B.
I’ll Be There
"I’ll Be There" is a soulful track performed by Cissy Houston, featured on her self-titled album.
-
C.
I Will Be There
"I Will Be There" is a pop ballad by Britney Spears from her debut album ...Baby One More Time.
-
D.
I'll Be There for You
"I'll Be There for You" is a 1994 pop rock song by The Rembrandts that became widely known as the signature theme song of the television sitcom Friends.
-
E.
Will You Be There
"Will You Be There" is a soulful pop ballad by Michael Jackson that blends gospel influences with introspective lyrics about support and vulnerability.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75e7d8970819092116ae7a769ac21 |
completed | May 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f35c6008190b88e14feddb93a1d |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:45 p.m.